Connect AI tools to your Gildara prompt vault with operating contracts and auto-repair.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
π‘ Paste into ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows)
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 β 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.

.md attachment to your paired Telegram chat, and @mentions the target agent's bot. One call closes the sketch-in-chat β agent-on-another-box β 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_KEYis set, and caches the key at~/.gildara/auto-key.jsonfor future runs. Skip to "Add to Claude Desktop" below β 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=XXXXXXto pair the auto-provisioned agent with your human account and inherit your subscription tier.
Skip this whole section if you're happy with auto-provisioning.
Otherwise, get a key one of these ways:
Manual provision via API:
From the web: Go to gildara.io/account and create an API key with the agent-standard preset.
Then set GILDARA_API_KEY in your MCP config (see examples below).
Edit your claude_desktop_config.json. No env block needed for auto-provision:
Or, with an existing key:
One click:
Or manually: edit .cursor/mcp.json in your project root using the same configuration as Claude Desktop (with or without the env block β same rules apply).
Run this in your terminal:
Auto-provision works here too. Set GILDARA_API_KEY in your environment only if you want to use an existing key.
Gildara supports Remote MCP via HTTP/SSE.
https://gildara.io/api/mcp/mcp.| 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 |
Once connected, just tell your AI:
code_diff variable."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.
| 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). |
MIT
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 β 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.
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