Resolve a developer profile to exactly one project blueprint and return its CI-tested setup recipe.
forgeprint MCP Server (io.github.forgeprint/forgeprint)
The MCP server resolves a developer profile to exactly one project blueprint and returns its CI-tested setup recipe. Its purpose is to map a profile to a single blueprint, then provide the corresponding recipe that has been validated by continuous integration (CI).
π οΈ Key Features
Resolves a developer profile to exactly one project blueprint
Returns the projectβs CI-tested setup recipe
π Use Cases
Selecting a single project blueprint based on a developer profile
Retrieving a CI-validated setup recipe for that blueprint
β‘ Developer Benefits
Provides a direct blueprint-to-recipe workflow
Ensures the returned setup recipe has CI testing
β οΈ Limitations
Function described only for βexactly oneβ blueprint resolution per profile; no other behaviors are specified in the available data
Others say "here are 200 skills, go find yours." Forgeprint says "tell me who
you are and what you're building β here is your package."
Forgeprint is a community-grown blueprint catalog and MCP server that lets a
coding agent bootstrap a new project with the right context in one shot: the
AGENTS.md, the skills, the MCP and plugin configuration, and a deterministic
setup recipe the agent can execute.
Status: pre-release. A catalog of blueprints, experts, crews and
integrations, working tooling, and an MCP server with all ten tools, published
and connectable today. With Claude Code:
bash
claude mcp add forgeprint -- npx -y forgeprint-mcp
On Windows PowerShell, quote the separator:
claude mcp add forgeprint "--" npx -y forgeprint-mcp.
Any MCP client can connect; the site
has the command or configuration for each of the nine registered agents, and
the catalog with its current counts. Roadmap has the rest.
The problem
Every new project starts cold. You hunt down the requirements, write the rule
file by hand, wire up the MCP servers, pick the plugins, and get the setup
steps wrong twice before they work. Hours of it β repeated by everyone, on
every project, forever.
That knowledge is not hard to write down. It is just never written down in a
form another agent can use.
What makes it different
1. A resolver, not a catalog to browse
You do not search Forgeprint. You describe yourself and your goal, and it
returns exactly one blueprint.
code
You: I know C#. I want to build a multi-tenant SaaS API.
Agent: [resolve] β Forgeprint returns questions: which database, which auth,
self-hosted or cloud?
You: Postgres, JWT, cloud.
Agent: [resolve] β one blueprint, why it was chosen, what is missing on this
machine, and the setup plan.
When the profile is incomplete, the resolver does not guess: it returns the
questions your agent should ask you. When two candidates are genuinely close,
it returns both as a question and lets you pick β never as a list to sift
through. When nothing fits, it says so, names the closest blueprint, explains
why it does not fit, and offers to file a request. It never invents a match.
Scoring is weighted: a language you already know beats everything else.
2. A setup recipe, not a description
setup.md is a script, not prose. Every step is numbered, is a single command
or a single file operation, and ends with a verification command. Versions are
pinned. Option branches are explicit. The agent executes it; Forgeprint itself
installs nothing and runs nothing on your machine.
3. A quality gate, not a junk drawer
Every pull request passes schema validation, a setup test that actually runs
the recipe in a clean container, and a duplicate report against the closest
existing blueprint. Two blueprints may not claim the same stack, project type
and requirements β a better one replaces the old one instead of sitting
next to it.
There is no inheritance and there are no variants. Variation is expressed as
options, capped at three fields with three values each, so the whole matrix
stays testable. See ADR 0001.
4. Standards-compatible, not another format
Forgeprint follows the existing specs β AGENTS.md, SKILL.md,
marketplace.json β so its output drops into the tools you already use, and
skills remain installable through the usual channels:
Both are verified against the real tools before each release, and
forgeprint validate fails on a skill that would not install β see
ADR 0006.
How it compares
Forgeprint is not trying to replace most of these. It sits in the gap between
them.
Project
What it does
How Forgeprint differs
microsoft/skills
170+ Azure/Foundry skills, an AGENTS.md template, ready MCP configs
A catalog you browse; no matching, and Azure-shaped
github/awesome-copilot
Community instructions, prompts and skills for Copilot
A rule collection; no setup recipe, no resolver
github/spec-kit
Spec-driven development: spec β plan β tasks
A process tool. Forgeprint delivers the context package and the recipe β complementary, not competing
agent-rules-mcp
An MCP that fetches rule files from any GitHub repo
Fetches files; no selection, no schema, no setup, no quality gate
codeops-mcp
Universal coding rules, generates project.md from an existing project
The opposite direction: it analyses projects that exist. Forgeprint bootstraps ones that do not
awesome-cursorrules
A Cursor .mdc rule collection
One tool, one file type; no setup, no MCP
skills.sh, gh skills install
Skill distribution standard and CLI
Distribution infrastructure that Forgeprint builds on top of, not a competitor
How it works
You point your agent at the MCP server and talk normally.
docs/mcp.md has the connection details and a worked exchange.
Tool
What you get
resolve
Either the questions to ask you, or one blueprint with its rationale, missing tools and setup plan
search_blueprints
Matching blueprints with scores, when you want to look yourself
get_blueprint
The manifest and every file, with option branches already resolved
compare_blueprints
A pros-and-cons table for 2β4 candidates, built from their overview.md files
validate_blueprint
Schema errors and a similarity report, for contributors
request_blueprint
A GitHub issue payload when nothing matches
recommend_experts
For a task, at most one crew or at most three experts, each with a reason β never a list to browse
get_expert
One expert: its SKILL.md, checklists and sourced references
get_crew
One crew: its members in full, and the install command for each integration it names
get_integration
One pinned install recipe for third-party software, with the secrets it needs and what they reach
Without an MCP client, nothing above is required:
bash
npx -y forgeprint get ts-http-service --agent cursor --options framework=hono
That writes the files that agent reads, and the recipe with your options
resolved β the same answer the tools give, because it is the same code
(ADR 0013). It reads the published
catalog, or a checkout when you are in one. The catalog is also published as
JSON at
forgeprint.github.io/forgeprint/index.json
and as llms.txt.
Forgeprint replies in English. Your agent presents it in your language: the
tools take a locale hint and hand it back, so nothing in the catalog has to
be translated. See ADR 0004.
What works today
bash
npx forgeprint validate # in a checkout of any Forgeprint catalog
npx -y forgeprint-mcp # the MCP server, over stdio
To work on the catalog itself:
bash
git clone https://github.com/forgeprint/forgeprint.git
cd forgeprint
pnpm install
pnpm run build
pnpm forgeprint validate
Command
What it does
pnpm forgeprint validate
Schema, taxonomy, required files, and the catalog-wide rules
pnpm forgeprint build-index
Regenerate docs/index.json
pnpm forgeprint build-schema
Regenerate schema/manifest.schema.json
pnpm forgeprint build-codeowners
Regenerate .github/CODEOWNERS from the manifests
pnpm forgeprint lint-setup <slug>
Check a setup recipe: numbering, verification, pinning, safety
pnpm forgeprint similarity <slug>
Duplicate report against every other blueprint
Every pipeline step is a command you can run locally. Hosted CI is a
convenience, never a dependency: the workflows call these same commands, the
generated index is committed to the repository, and GitHub Pages serves it
straight from the branch. When Actions is unavailable, nothing stops.
See ADR 0002.
Layout
code
blueprints/<slug>/ one folder per blueprint β the unit of contribution
skills/ blueprint-author and blueprint-review
schema/ manifest schema and the controlled taxonomy
packages/cli/ forgeprint validate / build-* / similarity / lint-setup
packages/mcp-server/ the MCP server (npx forgeprint-mcp)
packages/site/ the static GitHub Pages site, generated into docs/
docs/ index.json, the ADRs, and the published site
Roadmap
Phase 0 β Skeleton. Workspace, schema, taxonomy, validation and
generators, licensing, contribution and governance rules.
Phase 1 β First content. Three official blueprints, the
blueprint-author and blueprint-review skills, the similarity report
and the setup lint.
Phase 2 β MCP. The six tools, the option resolver, and the server
over stdio, published as forgeprint-mcp.
Phase 3 β Publishing. The site is generated from the catalog and
served at https://forgeprint.github.io/forgeprint, and the workflows
run: validate on every push and pull request, setup-test on the
recipes. forgeprint validate checks the skill format the distribution
tools read, so npx skills add and gh skills install agree with it
(ADR 0006).
Phase 4 β Community. Contributor visibility has shipped: every
blueprint page names and links its maintainer, and the open blueprint
requests are listed live. What is left waits on people rather than on
work β the orphan, staleness and co-maintainer rules are written in
GOVERNANCE.md and will be automated when there is a
second maintainer to automate them for, and community translations open
when somebody wants to write one.
code
A "times resolved" counter is **not** planned. It would mean the server
learning something about the people who use it, and
[PRIVACY.md](PRIVACY.md) says it collects nothing. If it is ever
revisited it will be anonymous and opt-in, and that file says so.
Contributing
Read CONTRIBUTING.md first β especially the part about
checking whether the blueprint you want to write already exists. The fastest
merge is usually a pull request against a blueprint that is already there.
Two skills carry the procedure, for you or for your agent:
blueprint-author turns a working project
into a blueprint that passes the gate, and
blueprint-review is the standard it is
judged against. Install either one into your agent: