Kakao Mobility & Kakao Map MCP Server

Let AI read, search, and summarize your UpNote notes — and create new ones — right from your chat.

Pre-install trust scoring & safety scanning for MCP servers, AI skills & npm packages — 15 signals incl. OSV/KEV/EPSS vuln intel and an auto-gate go/no-go.

# govql-mcp-server An MCP (Model Context Protocol) server for [GovQL](https://govql.us) — gives AI clients like Claude Desktop, Claude Code, and Cursor direct access to the US Congressional GraphQL API at [api.govql.us/graphql](https://api.govql.us/graphql) without bespoke HTTP wiring. For the design rationale (why FastMCP-Python, the passthrough+curated philosophy, roadmap through v0.4), see [design.md](https://github.com/govql/govql/blob/main/mcp-server/docs/design.md). ## What you can do with it Ask an agent questions like: - *"How did Vermont's two senators vote on the most recent nomination?"* - *"Which legislators in the 118th Congress switched parties during their service?"* - *"Compare Senator Sanders' voting record to Senator Murkowski's on cloture votes in the most recent Congress."* The agent picks the right tool, writes the GraphQL query against the live schema, and parses the response — no manual API wrangling. ## Install The server runs as a per-client subprocess over stdio. Pick your client: ### Claude Desktop Edit `claude_desktop_config.json` (Settings → Developer → Edit Config): ```json { "mcpServers": { "govql": { "command": "uvx", "args": ["govql-mcp-server"] } } } ``` Restart Claude Desktop. The `govql` tools appear in the tools panel. ### Claude Code Add to `.mcp.json` in your project (or `~/.mcp.json` for global): ```json { "mcpServers": { "govql": { "command": "uvx", "args": ["govql-mcp-server"] } } } ``` ### Cursor Settings → MCP → Add Server. Use the same `command` / `args` as above. ### Other clients Any MCP-compatible client that supports stdio servers will work. The command is `uvx govql-mcp-server` with no required arguments. ## Tools | Tool | Purpose | |---|---| | `execute_graphql` | Run any GraphQL query against the GovQL endpoint. Returns the result plus an `last_ingest` timestamp so the agent can reason about data freshness. | | `list_types` | Returns the names and kinds of every type in the GovQL schema. Optional `kind` filter (`"OBJECT"`, `"INPUT_OBJECT"`, `"ENUM"`, etc.) to narrow further. Start here when you don't know what's queryable. | | `describe_type` | Returns one type's full details — fields, arg signatures, input fields, enum values. Call after `list_types` to learn the shape of a specific type before writing a query. | ## Configuration All env vars are optional — the package is zero-config for end users. | Env var | Default | Purpose | |---|---|---| | `GOVQL_ENDPOINT` | `https://api.govql.us/graphql` | Endpoint to query. Override to point at a local dev stack. | | `GOVQL_TIMEOUT_MS` | `30000` | Per-request HTTP timeout. | | `LOG_LEVEL` | `INFO` | Logging level. Logs go to stderr only (stdout is reserved for the MCP transport). | ## Limits (enforced by the upstream API) - Max query depth: 10 - Max query complexity: ~10 billion points (`first: N` multiplies child cost by N — keep page sizes reasonable on deeply nested queries) - Rate limit: 100 requests / 60 s per source IP A depth or complexity violation surfaces as a GraphQL `errors` entry in the tool response so the agent can adjust and retry. ## Data freshness Every `execute_graphql` response includes a `last_ingest` ISO timestamp. Vote data refreshes hourly; legislator data refreshes daily. ## Status Version 0.1.0 ships three foundational tools: a GraphQL passthrough (`execute_graphql`) and two narrow schema-discovery tools (`list_types`, `describe_type`). Curated higher-level tools (`find_legislator`, `get_voting_record`, `compare_voters`, etc.) are planned for subsequent releases — see [design.md](https://github.com/govql/govql/blob/main/mcp-server/docs/design.md) for the roadmap. ## Links - [GovQL project site](https://govql.us) - [GraphQL API](https://api.govql.us/graphql) - [Source / issues](https://github.com/govql/govql)

An MCP server implementation that provides a tool for dynamic and reflective problem-solving through a structured thinking process.

MCP Advisor & Installation - Use the right MCP server for your needs

Race nutrition planning tools for endurance athletes. Get personalised carb, sodium and fluid targets for any race, browse Lecka's real-food product catalog, and calculate exactly how many gels you need — by distance, conditions, weight, and effort level.

summarize chat message

Zhipu Web Search MCP Server is a search engine specifically designed for large models. It integrates four search engines, allowing users to flexibly compare and switch between them. Building upon the web crawling and ranking capabilities of traditional search engines, it enhances intent recognition capabilities, returning results more suitable for large model processing (such as webpage titles, URLs, summaries, site names, site icons, etc.). This helps AI applications achieve "dynamic knowledge acquisition" and "precise scenario adaptation" capabilities.

A Model Context Protocol (MCP) server for image generation and manipulation using fal.ai's Stable Diffusion model.

MCP server for StillOnline — uptime monitoring and status pages from Cursor, Claude Code, and other MCP clients. Wraps REST API v1: projects, HTTP/SSL checks, incidents. Requires Pro/Ultimate API key.

AgenticBI is an agentic analytics platform that turns business questions into answers.Connect BigQuery, Salesforce, SAP, Google Drive, Trino, and more. Agents understand your data, find the right datasets, join across systems, run queries, and return answers with visualizations.Or skip the question and automate the workflow entirely. "Send me a sales report every morning at 8 AM." The agent identifies the data, picks the metrics, builds the dashboard, and sets up recurring delivery to your inbox or Slack.Structured data and documents in the same query. No SQL. No analyst. Works with Claude, Cursor, VS Code, and ChatGPT. Turn on screen reader support Connects your sources, builds the semantic layer, and answers your business questions — no SQL, no analyst, no waiting.Connects your sources, builds the semantic layer, and answers your business questions — no SQL, no analyst, no waiting.

Model Context Protocol server that integrates AgentQL's data extraction capabilities.

Turn any published podcast into clean Markdown with real speaker names — not "Speaker 1." Three tools: search_podcasts (by text query or a pasted Spotify/YouTube URL), get_transcript (named, timestamped Markdown ready for LLMs and RAG), and get_balance. It's a transcript-retrieval API, not speech-to-text: it works on already-published shows, so you skip uploading audio and diarization — typically 5–10× cheaper. Try it free with the demo key pt_demo (no signup).

Crawlora's hosted MCP server exposes 319 structured web-data tools — search, maps, commerce, social, finance, travel, app stores, and reviews — each returning clean JSON instead of HTML to parse. Streamable HTTP transport with API-key Bearer auth. No proxies, browsers, or parsers to maintain. Free 2,000 credits/month, no card.

test

Create a remote sandbox that can execute code/run commands/upload and download files. 创建远程沙盒，可以执行代码/运行命令/上传下载文件

63-layer continuous-time Symplectic Neural ODE computing topological invariants of real market signals. 256-dim feature space with non-Abelian gauge field geometry. 27 data products (property intelligence, DAG manifold computation, federal contracts, distressed real estate) with autonomous Stripe purchase. 500K out-of-pocket validated embeddings. Free tier available.

Browser automation and web scraping

MCP server for the Savvly Longevity Benefit Fund: product info, Savvly-vs-alternative comparisons, eligibility checks, an audience-tagged Q&A library, and retirement / lump-sum / monthly projections (with inline MCP Apps chart widgets).

Minimal project management for teams and AI agents. Manage tasks, projects, and workspaces from Claude, Cursor, Windsurf, and any MCP-compatible AI assistant.

Validate a business idea against 6 live demand signals: Demand, Pain, Competition, Money, Funding, Urgency. Drawn from a 55k+ idea corpus across 200+ sources (a16z, YC, Product Hunt, Forbes, App Store), hundreds scored each week and refreshed daily, with named competitors, metrics, and real user complaints cited to source URLs. Validate your own idea too. Works in Claude Code, Cursor, and Codex.

An MCP server implementation for retrieving information from the AWS Knowledge Base using the Bedrock Agent Runtime.

A Model Context Protocol Server connector for Perplexity API, to enable web search without leaving the MCP ecosystem.

Flag features directly from chat in your code editor, including VS Code, Cursor, Windsurf, Claude Code—any IDE with MCP support.

BlenderMCP connects Blender to Claude AI through the Model Context Protocol (MCP), allowing Claude to directly interact with and control Blender. This integration enables prompt assisted 3D modeling, scene creation, and manipulation.

Gives your AI agent your story map and given/when/then acceptance criteria. Read-only.