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@gildara/mcp-server
Advanced tools
MCP server for Gildara — bring your prompt vault into any AI tool.
Connects your Gildara prompt library to Claude Desktop, Cursor, Windsurf, Claude Chat, and any MCP-compatible tool. Your AI assistant can:
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 — 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:
curl -X POST https://gildara.io/api/v1/provision \
-H 'Content-Type: application/json' \
-d '{"agent_label": "my-agent"}'
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:
{
"mcpServers": {
"gildara": {
"command": "npx",
"args": ["-y", "@gildara/mcp-server"]
}
}
}
Or, with an existing key:
{
"mcpServers": {
"gildara": {
"command": "npx",
"args": ["-y", "@gildara/mcp-server"],
"env": {
"GILDARA_API_KEY": "pvk_your_key_here"
}
}
}
}
Edit .cursor/mcp.json in your project root using the same configuration as Claude Desktop (with or without the env block — same rules apply).
Run:
/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.
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 |
list_blueprints | Browse 48+ agent blueprint templates |
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
FAQs
MCP server for Gildara — operating contracts for AI agents. Structured runtime instructions compiled into optimal system prompts.
The npm package @gildara/mcp-server receives a total of 123 weekly downloads. As such, @gildara/mcp-server popularity was classified as not popular.
We found that @gildara/mcp-server demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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