mcp-gtags-server
Stop letting your AI agent grep. Give it an index.
mcp-name: io.github.harshithsunku/mcp-gtags-server
{ "mcpServers": { "gtags": { "command": "uvx", "args": ["mcp-gtags-server"] } } }
One user-level config entry, no sudo, no pre-installed anything — the whole toolchain installs itself into user space on first use, and every repo you open is served automatically.
Every AI coding agent — Claude Code, Cursor, Codex, you name it — answers "where is this function defined?" the same way: grep the entire tree. On a million-line C/C++ codebase that's a full scan per question, and the output is a firehose: every comment, string literal, and unrelated match, dumped straight into the model's context window.
mcp-gtags-server replaces those scans with indexed lookups powered by GNU Global (gtags) — the same tags engine kernel and systems developers have trusted for decades — exposed to agents over the Model Context Protocol. Built for the codebases LSP-based tools can't handle: kernel-scale C/C++, trees that don't currently compile, machines you can't sudo on.
- ~100× faster per query — milliseconds instead of seconds, at any codebase size
- Radically less noise — the definition, not 7,873 lines of matches
- Speaks kernel —
#ifdefguard stacks with.configfiltering, and macro-generated symbols (sys_read→ itsSYSCALL_DEFINE3site) that no other tagging tool resolves - Zero index management — first query builds the index, every query auto-refreshes it
- Correctness measured in CI — a 50-case golden eval against a pinned kernel: 100% recall, 100% precision@1 (docs/capability.md)
- Works everywhere MCP does — Claude Code, Claude Desktop, Cursor, any MCP client
The numbers (real Linux kernel, not a toy)
Measured on a full Linux kernel checkout — 65,163 C/C++ files, 37.1 million lines — warm page cache:
| Question an agent asks | grep -rn | gtags (this server) | Context consumed |
|---|---|---|---|
Where is tcp_v4_rcv defined? | 1.40 s | 0.01 s | 8 lines → 1 line |
Where is kmalloc defined? | 1.62 s | 0.01 s | 7,873 lines → 5 lines |
Who references kmalloc? | 1.62 s | 0.10 s | 7,873 noisy lines → 2,744 real sites (or a ranked per-file summary) |
Show me tcp_v4_rcv's implementation | read a 3,500-line file | get_symbol_body | exactly the 271-line function |
Who calls ext4_mark_inode_dirty? | 245 raw match lines | find_callers | 62 deduped caller functions, with counts |
Where is sys_read really defined? | no answer — the name is macro-generated | 0.03 s | fs/read_write.c SYSCALL_DEFINE3(read, ...), flagged resolved_via |
Does ksys_read ever reach rw_verify_area? | N rounds of grep + reading | 0.6 s | the shortest call chain, with every call site's file:line |
| What does my uncommitted diff impact? | not answerable | 0.1 s | blast_radius: changed functions + callers, ranked by distance |
One-time index build: 66 s for the whole kernel. Incremental refresh after edits: well under a second. Reproduce it yourself with scripts/benchmark.sh:
./scripts/benchmark.sh /path/to/linux tcp_v4_rcv kmalloc ext4_readdir
The speed is nice. The real win is precision: an agent that gets 5 exact lines instead of 7,873 noisy ones keeps its context window for actual reasoning.
And the answers are measured, not assumed: CI runs a 50-case golden eval against pinned kernel v6.16 on every push — currently 100% recall, 100% precision@1 across definitions, macro resolution, references, callers, #ifdef guards, and reachability. The full methodology, numbers, and honest limitations live in docs/capability.md.
Quick start (60 seconds)
Option A — one config entry (recommended)
Add the server once, at user level, and you're done — no installer, no pre-installed gtags, no per-repo setup. The only prerequisite is uv (or use Option B, which installs it for you).
# Claude Code (once per device, all repos):
claude mcp add --scope user gtags -- uvx mcp-gtags-server
// Cursor (~/.cursor/mcp.json), or any MCP client's global settings:
{
"mcpServers": {
"gtags": { "command": "uvx", "args": ["mcp-gtags-server"] }
}
}
Or click the Cursor one-click install badge at the top of this page.
On the very first tool call the server bootstraps everything else by itself: GNU Global (prebuilt user-space binaries — no compiler, no sudo), universal-ctags, and Pygments, all into ~/.gtags-mcp. While that one-time install runs (a few seconds on most platforms), tool calls return a "toolchain is being installed — retry shortly" status instead of failing. Opt out with --no-auto-setup or GTAGS_MCP_AUTO_SETUP=0.
Option B — one-line installer (shared background server)
One command. No sudo. Works everywhere — restricted corporate machines, containers, build servers:
curl -fsSL https://raw.githubusercontent.com/harshithsunku/mcp-gtags-server/main/scripts/install.sh | bash
Everything lands in your home directory — the server (via uv), GNU Global, universal-ctags, and Pygments (in ~/.gtags-mcp). When it finishes, a shared background HTTP server is running that every client and IDE window on the machine can point at (http://127.0.0.1:8383/mcp), and the exact client configuration is printed to your console.
Re-run the same command any time:
- Up to date? → "Already installed and up to date — nothing to install", and the config is printed again.
- New release on GitHub/PyPI? → the package updates, an outdated gtags toolchain is wiped and reinstalled automatically, and the background server restarts on the new version.
One config, many repos
However you install it, one user-level entry serves every repo you open — 20 repos need zero extra installs and zero extra config. Each tool call resolves its project root down this ladder:
project_rootargument on the tool call (agents pass this to target any tree)--rootflag /GTAGS_MCP_ROOTenv varrootin a config file (note: pinning a root here defeats multi-repo)- The client's workspace roots (MCP roots protocol) — IDEs that advertise their open folders get the right repo automatically, even on the shared HTTP server; with several folders open, agents are asked to pass
project_root - Walk up from the server's working directory to the nearest
.git/GTAGS— this is why stdio servers spawned by Claude Code/Cursor inside a repo just work
That's it. No indexing step, no configuration. Ask your agent "who calls tcp_v4_rcv?" — the first query in any repo builds that repo's index automatically, and every query after that is answered in milliseconds. Run mcp-gtags-server doctor any time to see what the server detects, or mcp-gtags-server config to re-print the client configuration.
Background server details (network access, port, lifecycle)
The installer runs mcp-gtags-server --transport http --host 127.0.0.1 --port 8383 in the background (pid: ~/.gtags-mcp/server.pid, log: ~/.gtags-mcp/server.log). Environment overrides for the installer:
| Variable | Default | Meaning |
|---|---|---|
GTAGS_MCP_PORT | 8383 | HTTP port |
GTAGS_MCP_HOST | 127.0.0.1 | Bind address — set 0.0.0.0 to reach the server from other devices at http://<machine-ip>:8383/mcp |
GTAGS_MCP_NO_SERVER | unset | 1 = don't start a background server |
Security note: the HTTP endpoint is unauthenticated. It binds localhost by default; only bind 0.0.0.0 on networks you trust.
Manual install (prefer system packages, or already have Global)
# 1. GNU Global — EITHER user-space (no sudo):
mcp-gtags-server setup
# OR a system package:
sudo apt install global # Debian/Ubuntu
sudo dnf install global # Fedora
brew install global # macOS
# 2. The server:
uv tool install mcp-gtags-server # or: pip install mcp-gtags-server
The server finds binaries in this order: --bin-dir/GTAGS_MCP_BIN_DIR/config bin_dir → ~/.gtags-mcp/bin → PATH → ~/.local/bin.
Claude Desktop — extension bundle or manual config
Easiest: download mcp-gtags-server.mcpb from the latest release, drag it into Claude Desktop's Settings → Extensions, and pick your project folder in the setup screen. The gtags toolchain installs itself on first use.
Or add to claude_desktop_config.json manually (pin the project since Desktop doesn't launch in your repo):
{
"mcpServers": {
"gtags": {
"command": "uvx",
"args": ["mcp-gtags-server", "--root", "/absolute/path/to/your/project"]
}
}
}
Pin a project root explicitly
By default the server uses the client's advertised workspace root (MCP roots protocol) or auto-detects the project root by walking up from its working directory to the nearest .git or existing GTAGS — so queries from anywhere inside a monorepo resolve to the repo root. Override with --root /path, the GTAGS_MCP_ROOT env var, or root in a config file — or pass project_root on any individual tool call to query a different tree. (See "One config, many repos" for the full resolution order.)
Config files — per-project and per-user defaults
Every setting can also live in a TOML file, so teams share defaults through the repo (like .editorconfig):
- Project:
.gtags-mcp.tomlat the project root - User:
~/.config/gtags-mcp/config.toml
# .gtags-mcp.toml
label = "native-pygments" # force a GTAGSLABEL parser label
bin_dir = "/opt/tools/bin" # extra directory searched for gtags/global/ctags
skip_globs = ["*.gen.c"] # never index paths/basenames matching these globs
respect_gitignore = true # default: index only what `git ls-files` reports
enrich = true # default: ctags kind/signature/scope on results
guards = true # default: #ifdef guard stacks on results
macro_resolve = true # default: resolve macro-generated symbols (sys_*, ...)
# root = "/abs/path" # default project root (user config)
Precedence: tool-call argument > CLI flag > environment variable > project config > user config > built-in default.
The tools
Symbol-level tools — the noise killers
Give the agent the symbol, not the file.
| Tool | What the agent gets |
|---|---|
symbol_info | A one-shot overview card — definitions (with kind, signature, scope, and #ifdef guard), reference count, hottest files, EXPORT_SYMBOL* status, and which tool to use next. Multiply-defined symbols are explained as "N definitions under M distinct guards"; macro-generated ones resolve with a resolved_via flag. The best first query for any unfamiliar symbol. |
get_symbol_body | Just the source of a definition. The 271-line tcp_v4_rcv function — not the 3,500-line file it lives in. Handles functions, structs, and multi-line macros. |
find_callers | The call graph, deduplicated. Every reference mapped to its enclosing function with call counts: 245 raw lines for ext4_mark_inode_dirty collapse to 62 callers. |
call_hierarchy | Multi-level impact analysis. Who calls X, who calls those, up to 5 levels — a cycle-safe, capped tree instead of N rounds of grep. |
find_callees | The outgoing call graph. What does this function call? Body-extracted call sites, each verified against the index, split into in-tree (with locations) and external. |
reachability | "Can this function end up in that one?" — BFS over the caller graph returns the shortest call chain from A to B with the file:line of every call site (ksys_read → vfs_read → rw_verify_area), or an honest "no static path" that names the function-pointer caveat. One call instead of a dozen find_callers rounds. |
blast_radius | What does my diff impact? Takes git diff <ref>, maps changed lines to their enclosing functions via the index, then walks callers outward — results ranked by distance (changed functions first, direct callers next). The pre-merge "what else must I re-check" answer, tied to real git state. |
summarize_references | A ranked per-file count. The cheap first move for hot symbols — kmalloc's 2,744 references become one screen of "where usage concentrates". |
project_overview | Orientation in an unfamiliar repo — file counts by top-level directory and language, straight from the index. |
find_dead_symbols | Dead-code candidates — every symbol a file defines that nothing references. |
find_includers | Header blast radius — every file that #includes a header, matched by basename. |
A two-level call_hierarchy on the kernel's ext4_mark_inode_dirty — 87 compact lines instead of dozens of grep rounds:
ext4_mark_inode_dirty (definition: fs/ext4/ext4_jbd2.h:138)
├─ ext4_rename fs/ext4/namei.c (6 sites)
│ └─ ext4_rename2 fs/ext4/namei.c (1 site)
├─ swap_inode_boot_loader fs/ext4/ioctl.c (5 sites)
│ └─ __ext4_ioctl fs/ext4/ioctl.c (1 site)
├─ ext4_mkdir fs/ext4/namei.c (3 sites)
│ └─ ext4_rename2 fs/ext4/namei.c (1 site)
...
Core lookups
| Tool | What it does | Underlying command |
|---|---|---|
find_definition | Where is this symbol defined? Falls back to macro-family resolution (sys_*, trace_*, DEFINE_* names) when there's no literal definition | global -x + macro resolution |
find_references | Raw reference lines for a symbol | global -rx |
find_symbol_usages | Usages of symbols with no in-tree definition (libc calls etc.) | global -sx |
grep_project | Regex search across indexed files | global -gx |
list_file_symbols | A file's API surface — every symbol it defines | global -fx |
complete_symbol | Symbols starting with a prefix | global -c |
find_files | Indexed files whose path matches a regex | global -P |
index_project / update_index | Force rebuild / refresh (rarely needed — it's automatic) | gtags / global -u |
Every query tool supports limit/offset pagination, long-line truncation, and (where it makes sense) case_insensitive — output is engineered to never flood a context window.
Structured output (JSON by default)
Since v0.8.0 every tool returns a machine-readable JSON envelope by default (pass format="text" for the previous human-readable rendering — a breaking change if you parsed the old text):
{
"tool": "find_definition",
"root": "/abs/project/root",
"results": [
{"symbol": "kmap", "path": "include/linux/highmem-internal.h", "line": 40,
"col": 22, "kind": "function", "typeref": "void *", "scope": null,
"signature": "(struct page * page)", "guard": ["CONFIG_HIGHMEM"],
"snippet": "static inline void *kmap(struct page *page)"}
],
"total": 2, "offset": 0, "truncated": false,
"next_tools": ["get_symbol_body", "find_callers", "symbol_info"],
"warning": null
}
- Symbol locations always use the stable record schema
{symbol, path, line, col, kind, typeref, scope, signature, guard, snippet}with repo-relative paths. Keys are only ever added, never renamed or removed — parsers never need to change shape. kind/typeref/scope/signaturesay what a symbol is (since v0.8.1): function vs. macro vs. struct vs. typedef vs. enum constant, its return/target type, its enclosing scope (enum:color,struct:item), and its parameter list — extracted per file by universal-ctags with no build and no compile database, cached, and filled on definition-shaped results (find_definition,symbol_info,list_file_symbols). When universal-ctags isn't available the fields are simplynull; disable explicitly with--no-enrich,GTAGS_MCP_ENRICH=0, orenrich = falsein.gtags-mcp.toml.guardsays when a symbol exists (since v0.9.0): the enclosing#if/#ifdefstack, outermost first ([]= unconditional,null= scanning disabled or file unreadable). See the next section — this is the headline feature.resolved_viasays how a symbol was found when it took macro-family resolution rather than a literal index match ("macro:SYSCALL_DEFINE","fuzzy:vfs_read") — see Macro-generated symbols.next_toolstells the agent the highest-value follow-up call for what was (or wasn't) found.total/offset/truncatedreplace the text continuation footer; errors keep the envelope with anerrorfield.- Composite tools return tool-shaped
results(e.g.call_hierarchya nested caller tree,find_callees{in_tree, external},symbol_infoan overview object,reachabilitya hop chain) inside the same envelope.
#ifdef-aware: know which definition your config actually compiles
Kernel and firmware code defines the same symbol multiple times and lets the
build configuration pick one. Every other no-build tool returns a flat,
unexplained list — an agent happily reads the no-op stub of kmap and
reasons its way to a wrong answer. This server reads the preprocessor
conditionals (pure scanning — still no build, no compile_commands.json):
Symbol: kmap
2 definitions under 2 distinct guards:
[CONFIG_HIGHMEM] defined at include/linux/highmem-internal.h:40 — function kmap(struct page * page) -> void *
[!CONFIG_HIGHMEM] defined at include/linux/highmem-internal.h:170 — function kmap(struct page * page) -> void *
Pass active_config — a kernel .config path or a macro list like
"CONFIG_SMP,BITS_PER_LONG=64,!CONFIG_DEBUG" — to find_definition,
find_references, or symbol_info, and definitions whose guard stack is
definitely false under it are dropped (the envelope reports the count as
config_filtered). Filtering is deliberately conservative: a .config is a
closed world for CONFIG_* macros (kbuild semantics, including
=m → CONFIG_X_MODULE and IS_ENABLED/IS_BUILTIN/IS_MODULE), but
anything unknown (__ASSEMBLY__, ARCH_HAS_*, arithmetic it can't decide)
never drops a result.
The details are handled so the output stays clean: classic include guards
(#ifndef FOO_H) are detected and suppressed, #elif chains compose into
explicit conditions (!CONFIG_X86_64 && CONFIG_X86_32), comments on
directives are ignored (they lie), and broken/partial files never fail a
query. Disable with --no-guards, GTAGS_MCP_GUARDS=0, or guards = false
in .gtags-mcp.toml.
Macro-generated symbols resolve too (sys_read → SYSCALL_DEFINE3)
The best-known gap of every tagging tool on the kernel: sys_read,
trace_sched_switch, and css_set_lock have no literal definition
anywhere — they are minted by token-pasting macros, and a plain lookup
comes back empty (or worse, returns a same-named test helper). This server
resolves them from the index alone, no preprocessor and no build:
find_definition("sys_read") → fs/read_write.c:723 SYSCALL_DEFINE3(read, ...) resolved_via: "macro:SYSCALL_DEFINE"
find_definition("__x64_sys_openat")→ fs/open.c:1385 SYSCALL_DEFINE4(openat, ...) (arch entry-point wrappers map back)
find_definition("trace_sched_switch") → include/trace/events/sched.h:220 TRACE_EVENT(sched_switch, ...)
find_definition("css_set_lock") → kernel/cgroup/cgroup.c:82 DEFINE_SPINLOCK(css_set_lock);
Covered families: SYSCALL_DEFINE0..6 / COMPAT_SYSCALL_DEFINE* (incl.
__x64_/__ia32_/__arm64_/__se_/__do_ wrapper spellings), tracepoints
(TRACE_EVENT, DEFINE_EVENT, DECLARE_TRACE, ...), and the bare-name
definers (DEFINE_SPINLOCK, DEFINE_MUTEX, DEFINE_PER_CPU*,
DECLARE_BITMAP, module_param*, any DEFINE_/DECLARE_-shaped macro) —
plus a last-resort fuzzy tier that tries underscore-variant spellings.
Resolved results are flagged with resolved_via in the envelope and ranked
ahead of same-named textual shadows; DEFINE_* sites rank above their
DECLARE_* counterparts. symbol_info additionally reports the
EXPORT_SYMBOL / EXPORT_SYMBOL_GPL variant a kernel symbol is exported
with, in an exported field. Costs nothing when a symbol resolves normally
(only family-shaped names like sys_*/trace_* get the extra indexed
lookups); disable with --no-macro-resolve, GTAGS_MCP_MACRO_RESOLVE=0, or
macro_resolve = false.
What gets indexed (junk stays out)
Indexing feeds gtags an explicit file list instead of letting it walk the tree:
- In a git repository the list comes from
git ls-files—.gitignoreis respected exactly, so build output, vendored blobs, and generated files never pollute the index. Disable withrespect_gitignore = falsein.gtags-mcp.toml. - Outside git, the tree is walked minus well-known junk directories (
.git,node_modules,build,dist,.venv, ...). skip_globsin.gtags-mcp.tomldrops anything else you never want indexed.
Incremental refreshes recollect the list, so newly ignored files drop out of the index and new files appear — automatically.
The flow that saves your context window
0. project_overview() → orient in an unfamiliar repo (12 lines)
1. symbol_info("kmalloc") → definitions + usage spread + next step (12 lines)
2. call_hierarchy("ext4_mark_inode_dirty") → multi-level impact tree (1 line/caller)
3. get_symbol_body("tcp_v4_rcv") → read the ONE function that matters
4. find_callees("tcp_v4_rcv") → what it depends on, with locations
5. reachability("ksys_read", "rw_verify_area") → the call chain, one line per hop
6. blast_radius("HEAD") → what my edit impacts, ranked by distance
A few hundred lines of context total — versus tens of thousands for the grep-and-read-files equivalent.
Multi-language projects (C + Python + more)
Real projects mix languages — a C core with Python tooling, JS frontends, Go services. The server handles this automatically:
- Native languages (C, C++, Java, PHP, Yacc, assembly) use GNU Global's fast built-in parser.
- Everything else (Python, Go, Rust, JavaScript, TypeScript, Ruby, ... ~150 languages) is indexed through Global's ctags + Pygments plugin parsers — same index, same tools, same queries.
The one-line installer (and mcp-gtags-server setup) enables this automatically — it installs universal-ctags and Pygments into user space, and the server switches to the native-pygments parser label on its own. Prefer system packages? Those work too:
sudo apt install exuberant-ctags python3-pygments # Debian/Ubuntu
sudo dnf install ctags python3-pygments # Fedora
brew install ctags && pip install pygments # macOS
Now find_definition("py_util"), get_symbol_body (indentation-aware for Python), find_callees, call_hierarchy — all work across every language in the tree, in one index.
Force a specific parser label with --label, GTAGS_MCP_LABEL, or label in .gtags-mcp.toml (e.g. default for native-only, pygments for plugin-everything).
Honest caveats: for plugin-parsed languages, definitions are as accurate as ctags, but references are token-based — every occurrence of the name counts, without C-grade semantic reference tracking or local-scope awareness. For C/C++ nothing changes: the native parser still does that part.
How it works
Architecture
One long-lived server process per IDE window (stdio) — or one shared HTTP server for the whole machine. Everything heavy lives on disk and is shared: the toolchain installs itself once per machine, the index builds itself once per repo.
flowchart LR
subgraph clients["MCP clients"]
CC["Claude Code / Cursor / VS Code"]
CD["Claude Desktop (.mcpb)"]
end
subgraph proc["mcp-gtags-server — spawned once per window, lives for the session"]
T["20 navigation tools"]
RR["root resolution<br/>project_root → env → config → client roots → cwd"]
end
subgraph disk["your machine, user space (no sudo)"]
TC["~/.gtags-mcp<br/>global · gtags · ctags · Pygments<br/>self-installs on first use"]
IX["<repo>/.gtags-mcp/GTAGS<br/>one index per repo, auto-built"]
end
CC -- "stdio (uvx)" --> T
CD -- "stdio" --> T
T --> RR
RR -- "runs global (ms, indexed)" --> TC
TC -- "B-tree lookup" --> IX
A tool call, end to end
The binary is not re-executed per call — the server process stays alive; each call is one JSON-RPC message plus one millisecond-scale global subprocess:
sequenceDiagram
participant A as Agent
participant S as server (long-lived process)
participant G as global (GTAGS index)
A->>S: find_definition("tcp_v4_rcv")
Note over S: first call on this machine?<br/>toolchain installs itself in the background,<br/>calls answer "installing — retry shortly"
Note over S: first query in this repo?<br/>index auto-builds once (~66 s for the kernel)
S->>G: global -dx tcp_v4_rcv
G-->>S: net/ipv4/tcp_ipv4.c:2067 (milliseconds)
S-->>A: narrow JSON answer — no grep firehose
- First query on a tree? The index is built automatically (the only operation that ever blocks — and only once).
- Where do the index files go? Into a single
.gtags-mcp/folder at the project root — never loose files next to your code. The folder ships its own.gitignore, sogit statusstays clean without touching yours. A pre-existing root-levelGTAGS(from older versions, or your own gtags runs) keeps being used as-is.mcp-gtags-server doctorshows the location. - Files changed? A debounced incremental refresh runs in the background: queries always answer instantly from the current index while
gtags -icatches up behind the scenes. Measured on the kernel: queries return in 0.02s while the 25s freshness check runs invisibly. Staleness is bounded by the debounce window; callupdate_indexfor a synchronous, guaranteed-fresh barrier right after edits. - Huge result? Pagination footers tell the agent exactly how to fetch the next page — or the tool itself suggests a narrower one (
find_callerson a symbol used in 500+ files points tosummarize_references).
FAQ
Why gtags instead of a language server (LSP)?
LSP servers give richer semantics but need a working build configuration, per-editor setup, and serious warm-up time on large trees. gtags indexes 37M lines in about a minute with zero configuration, handles the kernel-scale codebases LSPs choke on, and its fuzzy parser doesn't care whether the code currently compiles. For C/C++ navigation questions — definition, references, callers — it's the pragmatic sweet spot. (Wrapping clangd for the compile-DB case was considered and deliberately rejected: users who have a working compile_commands.json already have clangd and its ecosystem — see ROADMAP.md.)
What languages? C, C++, Yacc, Java, PHP, and assembly natively — plus Python, Go, Rust, JS/TS, Ruby, and ~150 others via the ctags/Pygments plugin parsers (see Multi-language projects).
Does the agent have to manage the index?
No. That's the point. Build-on-first-query, background refresh with adaptive debounce, zero blocking — queries never wait for index maintenance. The explicit index_project/update_index tools exist only as escape hatches (update_index doubles as a synchronous freshness barrier after edits).
Where does the index live? Can I delete it?
In .gtags-mcp/ at the project root (self-gitignored). Delete it freely any time — the next query rebuilds it from scratch.
Will it fight my agent's built-in tools? The tool descriptions are written to steer the model: they say when to use indexed lookups instead of grep. In practice agents pick the faster, narrower tool naturally.
Development
git clone https://github.com/harshithsunku/mcp-gtags-server
cd mcp-gtags-server
uv run --extra dev pytest # 229 tests; e2e tests auto-skip if GNU Global is absent
npx @modelcontextprotocol/inspector mcp-gtags-server # poke at it interactively
Tests build a real C project in a temp dir and exercise auto-indexing, auto-refresh, caller mapping, body extraction, pagination, user-space binary discovery, and config layering end-to-end.
Correctness is also measured, not assumed: mcp-gtags-server eval --golden evals/golden.jsonl --root <kernel-tree> runs a 50-case golden set (definitions, macro resolution, references, callers, guards, reachability) against a real kernel and prints recall / precision@1 — CI does this weekly against a pinned tag. See docs/capability.md for the current numbers.
Release flow: bump version in pyproject.toml, tag vX.Y.Z, push — CI publishes to PyPI and users pick the update up on their next installer re-run. Prebuilt GNU Global binaries are rebuilt by tagging global-v<version>.
Roadmap
See ROADMAP.md — structured JSON output landed in v0.8.0, ctags
metadata enrichment (kind/signature/scope) in v0.8.1, #ifdef/config-guard
awareness (the headline capability for kernel and firmware trees) in v0.9.0,
then, all shipped in v1.0.0: macro-family symbol resolution (sys_read → its
SYSCALL_DEFINE3 site), the agent workflow tools (reachability,
blast_radius), automatic recovery from corrupted index databases, and the
correctness eval harness — a 50-case golden set against pinned kernel v6.16
scoring 100% recall / 100% precision@1 in CI, with the measured writeup in
docs/capability.md. Every technical milestone is done;
what remains is distribution (MCP registry, directories, the writeup post).
Contributions welcome — open an issue or PR.
License
MIT © Harshith Sunku