Buffsend Sales Automation With Ai

An MCP service designed for deploying HTML content to EdgeOne Pages and obtaining an accessible public URL.

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.

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.

Playwright MCP server

Register, attest, and verify work for any autonomous agent. Persistent cryptographic identity, tamper-evident on-chain work records, trust scores. 3 MCP tools. Settled on Solana.

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

B2B enrichment API for AI agents — 89 canonical fields per person + company, each annotated with source, confidence (0-1) and freshness. One call synthesises ten sources; no per-field bills. Add https://mcp.abm.dev/mcp as a custom MCP connector (OAuth 2.1 PKCE).

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

Create, manage, and clean up Flagsmith feature flags directly from your AI tool. Flagsmith is an open source feature flag and remote config platform you can self-host or run in the cloud, and the MCP server lets you control flags, environments, and segments through natural language in any MCP-compatible editor.

The Milvus MCP server enables AI applications to interact with Milvus vector databases using natural language commands. It allows AI models to perform vector searches, manage collections, and retrieve data without writing custom database queries. This integration facilitates seamless access to vector data, enhancing the capabilities of AI tools like Claude Desktop and Cursor.

Onchain AI-agent reputation oracle on Base. Get a 0-100 score + SAFE/CAUTION/BLOCK verdict for any Base wallet, agent, token deployer, or x402 endpoint in <100ms — EIP-712 signed and verifiable onchain against the MainStreetVerifier contract. ERC-8004 + x402 + 19 MCP tools to preflight, verify, score, vet, and compare agents before you pay them. Free reads (100/day/IP); pay-per-call audits over x402 (USDC on Base).

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

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

Open-source MCP server that audits programmatic SEO sites for SpamBrain risk — doorway clusters, near-duplicates, thin content — grouped by template. Clusters URLs into templates, samples pages from each, and returns a per-template verdict with risk score and fix manifest. Fix one template, fix thousands of pages. MIT.

MCP server that connects AI assistants to Siemens TIA Portal via the Openness API. AI-assisted PLC programming, project management, hardware configuration, cross-reference analysis, and deployment. 16 tools, 166 actions.

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

Kage is shared, code-grounded memory for developers and their coding agents. Capture a learning once — a bug cause, a decision, a gotcha — and the whole team plus every agent recalls it next time it's relevant. Memory is grounded in your actual code and stored as git-tracked JSON reviewed in PRs, not a personal vector blob that drifts: citations are validated on write, and stale memory (whose code was deleted or refactored) is withheld from recall and flagged for you. Works with Claude Code, Codex, Cursor, Windsurf, and any MCP client. No vector DB, API key, or service to run. Try it in 30s: npx -y @kage-core/kage-graph-mcp demo

A stdio MCP server that connects MCP-compatible Agents to MySQL for database discovery, table inspection, safe SELECT queries, controlled INSERT/UPDATE operations, EXPLAIN plans, and table status metadata. Part of MCP Java SDK, a Java toolkit for building custom MCP Servers.

Turn a written schedule into a live calendar link people subscribe to in Apple, Google, Outlook. Calfeed's create_calendar tool takes plain text (shifts, practices, classes, a season, an itinerary) and publishes a hosted calendar that updates for every subscriber. Mint an access token at calfeed.ai/profile.

Web content fetching and conversion for efficient LLM usage

# 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)

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

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

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).

Read-only database access with schema inspection