Scout Monitoring Mcp

Playwright MCP server

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.

Auditable, self-improving knowledge & memory for AI agents, served over MCP. Citation-enforced answers (no source, no claim), a replayable why-trace per answer, and a judge-gated loop that promotes validated knowledge. Zero-key local embeddings (bge-m3), hybrid vector + BM25 retrieval, scoped fail-closed bearer auth, and multi-tenant row-level security — self-hosted on Postgres alone. Apache-2.0. Reference implementation of the Agentic Product Standard.

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

17 utility APIs — QR codes, passwords, UUIDs, crypto prices, FX rates, DNS, RSS, holidays, OG metadata, hashing, base64, lorem ipsum, JSON tools, colors, email, IP geolocation, timestamps Tags: utility,tools,api,production

GraphPilot gives coding agents persistent structural knowledge of a codebase. It parses TypeScript/JavaScript with tree-sitter into a graph of symbols and call edges, then exposes that graph over MCP so the agent can recall definitions, find callers, and trace change impact without re-reading files every conversation. Local-first: no network, no telemetry, no code ever leaves your machine. Four tools — gp_index, gp_recall, gp_callers, gp_impact.

Hand any AI agent a budget-capped wallet to pay, discover & register x402 payment-gated URLs across every chain. Local, self-custodial, no backend, no fee.

Retrieving and analyzing issues from Sentry.io

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

clariBI is an AI-powered business intelligence platform built for small and mid-sized SaaS, ecommerce, and operations teams. Instead of writing SQL or building dashboards manually, users ask questions in plain English ("what's our CAC by channel last quarter?") and the AI engine pulls the data from Stripe, HubSpot, Google Analytics, ad platforms, Jira, and 30+ other sources via the open Model Context Protocol. Dashboards generate themselves on source connect.

Mercury is a pay-per-call MCP server that lets AI agents discover and call financial data tools using the x402 HTTP payment protocol. 18 tools covering crypto prices, DeFi liquidity, NFT data, on-chain analytics, and more. tools/list is free — tools/call is billed per call using your Mercury API key. Connect by URL: https://network.mercury-hq.com/mcp

A Model Context Protocol (MCP) server that integrates with Jina AI Search Foundation APIs.

Local-first, lightweight MCP server for per-agent key management.

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).

Search business entity filings from New York, Florida, and Colorado. Look up LLCs and corporations by name, get full entity details (registered agent, officers, addresses), and track new formations for sales prospecting. Requires a free FreshFilings API key at freshfilings.dev.

Local MCP server for Hearts of Iron IV modding agents

51 AI-powered Intelligence verticals - finance, immigration, legal, health, crypto, real estate, careers, travel, compliance and more. x402-native, pay-per-query via USDC on Base. No API keys, no subscriptions.

mneme is an open-source, vault-native memory layer for Claude Code and any MCP client. Your Markdown files are the source of truth. The index, embeddings, and knowledge graph are all derived and rebuildable. No LLM or network on the capture path. Redaction runs before every derived store. MIT licensed.

Safari Web Extension + Node.js MCP bridge giving Claude Desktop full control over Safari — navigate, read pages, click elements, fill forms, and manage tabs. No Playwright or WebDriver dependency.

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

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.

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.

Deterministic tools for AI agents. More reliable than AI inference. A lightweight utility API suite for developers and AI agents.

# 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)

The first MCP server for NetLogo, the most widely used agent-based modeling platform. Lets AI assistants create models with real interface widgets, run simulations and BehaviorSpace parameter sweeps, export world views as PNG, and safely run peer-reviewed models from the CoMSES Net library.