Server data from the Official MCP Registry
Operating contracts for AI agents. Structured instructions compiled into system prompts.
Operating contracts for AI agents. Structured instructions compiled into system prompts.
A well-structured MCP server with appropriate authentication, reasonable permissions, and solid code quality. The server requires an API key for all operations, implements local caching with offline fallback, and handles errors gracefully. No critical vulnerabilities or malicious patterns detected. Minor code quality improvements around input validation and error handling could be made, but these are low-severity findings. Supply chain analysis found 3 known vulnerabilities in dependencies (0 critical, 3 high severity). Package verification found 1 issue.
4 files analyzed · 9 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Set these up before or after installing:
Environment variable: GILDARA_API_KEY
Add this to your MCP configuration file:
{
"mcpServers": {
"io-gildara-mcp-server": {
"env": {
"GILDARA_API_KEY": "your-gildara-api-key-here"
},
"args": [
"-y",
"@gildara/mcp-server"
],
"command": "npx"
}
}
}From the project's GitHub README.
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.
{ "mcpServers": { "gildara": { "command": "npx", "args": ["-y", "@gildara/mcp-server"] } } }
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.

.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_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 |
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 |
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 — 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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