Operating contracts for AI agents. Structured instructions compiled into system prompts.
Gildara MCP Server (io.gildara/mcp-server)
The io.gildara/mcp-server provides “Operating contracts for AI agents,” compiling structured instructions into system prompts. Its readme describes a shared, searchable prompt library intended to persist across chats, machines, and tools, with tools that appear in Claude’s tool list after configuration and restart.
🛠️ Key Features
Operating contracts for AI agents
Structured instructions compiled into system prompts
Shared, searchable prompt library across chats, machines, and tools
Integrates via an npx -y @gildara/mcp-server command (as shown)
🚀 Use Cases
Provide the same prompt library to Claude, Cursor, Windsurf, and Claude Code
Ensure prompt availability across sessions and environments
⚡ Developer Benefits
Reduces per-agent setup by using a “One prompt vault”
Configuration is done via claude_desktop_config.json and a restart
⚠️ Limitations
Source material excerpt is incomplete and cuts off mid-instruction (“auto-provisions a free agent on f…”) and does not describe further constraints.
One prompt vault. Every agent. Zero setup. Give Claude, Cursor, Windsurf, and Claude Code a shared, searchable prompt library that survives across chats, machines, and tools.
Paste into claude_desktop_config.json, restart Claude — your Gildara tools appear in Claude's tool list. No signup. No API key. The server auto-provisions a free agent on first run and prints a one-click link code to pair it with your account later.
Search prompts semantically — find by meaning, not just keywords (Gemini embeddings).
Resolve + run prompts — compiled system prompts with operating-contract sections assembled, auto-repair on JSON schema failures.
Create + append — save new prompts, or append persistent facts to memory-type prompts.
Dispatch briefs to agents — say "send this to gevorg" and the MCP server creates a Brief, ships it as a .md attachment to your paired Telegram chat, and @mentions the target agent's bot. One call closes the sketch-in-chat → agent-on-another-box → result-in-chat loop. See docs/briefs/dogfood-rollout-v0.md for the agent-side integration recipe.
No API key required on first run. As of v0.6.0, the MCP server auto-provisions a new agent account on first startup if no GILDARA_API_KEY is set, and caches the key at ~/.gildara/auto-key.json for future runs. Skip to "Add to Claude Desktop" below — zero curl required.
On first run, the server prints a link code to stderr (visible in Claude Desktop's MCP logs). Visit https://gildara.io/link?code=XXXXXX to pair the auto-provisioned agent with your human account and inherit your subscription tier.
1. (Optional) Use an existing API key instead of auto-provisioning
Skip this whole section if you're happy with auto-provisioning.
Or manually: edit .cursor/mcp.json in your project root using the same configuration as Claude Desktop (with or without the env block — same rules apply).
4. Add to Claude Code
Run this in your terminal:
bash
claude mcp add gildara -- npx -y @gildara/mcp-server
Auto-provision works here too. Set GILDARA_API_KEY in your environment only if you want to use an existing key.
5. Add to Claude Chat (claude.ai)
Gildara supports Remote MCP via HTTP/SSE.
Go to Settings > Connectors in Claude Chat.
Select "Add custom connector".
Name: Gildara Vault.
Remote MCP server URL:https://gildara.io/api/mcp/mcp.
Authentication: OAuth 2.1 (you will be redirected to the Gildara consent page to authorize).
Tools
Tool
Description
search_prompts
Semantic search over your vault using Gemini embeddings
list_prompts
List all prompts in your vault
get_prompt
Get prompt details and operating contract config
resolve_prompt
Get compiled system prompt with variable substitution
run_prompt
Run prompt through AI with auto-repair
create_prompt
Create a new prompt
append_memory
Add info to an existing memory-type prompt
save_brief
Dispatch a brief to a named agent (MD attachment via Telegram, @mention routes to the right bot)
list_blueprints
Browse 48+ agent blueprint templates
get_account_link
Get the URL to link this agent's vault to a human Gildara account
Example usage
Once connected, just tell your AI:
"Search my vault for prompts related to security audits."
"Resolve my code-review-agent prompt with the code_diff variable."
"Run the security-audit prompt against this code."
"Append this preference to my 'Personal Context' memory: I prefer TypeScript over JavaScript."
"Send this to gevorg: analyze last week's Meta Ads performance and flag the bottom 3 campaigns."
Local-First Support
Gildara features a local-first architecture. The MCP server automatically caches resolved prompts to ~/.gildara/cache/ to ensure your agents remain functional even if the Gildara API is temporarily unreachable.
Environment variables
Variable
Required
Description
GILDARA_API_KEY
No
Your API key (pvk_...). If unset, the server auto-provisions a new agent account on first run and caches the key at ~/.gildara/auto-key.json. Set this explicitly to use an existing key.
GILDARA_BASE_URL
No
Override API URL (default: https://gildara.io).
License
MIT
Contributing / Maintainers
This package is the stdio MCP server. A sibling HTTP server lives at app/api/mcp/[transport]/route.ts in the parent monorepo (powers the Claude.ai native connector). Both must stay at parity — tool names, argument schemas, response text.
Before adding, removing, or changing a tool here, read docs/MCP_INTEGRATION_CONTRACT.md and run npm run test:unit from the monorepo root to verify parity.
Install
Configuration
Environment variables
GILDARA_API_KEY
Your API key (pvk_...). If unset, auto-provisions a free agent account on first run.