MCP Servers

Find MCP servers that connect AI assistants to useful tools and data. Explore what each server does, its setup and its documentation.

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2827 servers · Page 110 of 236

ContextBridge

ContextBridge sits between your codebase and your AI coding agent. Instead of pasting raw source files into context (burning thousands of tokens on code…

KafDesk Kafka MCP

Apache Kafka MCP server bundled with the KafDesk desktop client: topics, sampled records, consumer lag explanations, schema diffs and offset-reset plans;...

Junctionary Pulse

Finished Pulses for AI agents: weekday market and sector intelligence via MCP. 16 tools, 90-day archive, alerts and digests. Flat $5/mo for agents; 2...

TamingDNS

Check a domain's SPF, DKIM, DMARC, MX, MTA-STS, TLS-RPT, BIMI, DANE and DNSSEC, and analyse email headers.

Concordance

Language models generate; Concordance verifies. The verify tool checks a claim deterministically (no model in the loop) and returns HOLDS / BROKEN / INCOMPLETE…

SOS A股 Agent Gateway

免注册、免密钥的 A股当日盘面网关(真实数据,带出处与抓取时间)。公网 HTTP:GET /v1/market、POST /v1/verify、POST /v1/publish(只入队不执行);本机 stdio MCP 工具 5 个。上游不可用返回 502,不回退旧值。当前外部调用 0 次。

INFLU

Read-only fashion intelligence for Instagram creator momentum, brand radar and rising trends; requires a Business plan and API key.

Odds-API.io

Official MCP server for Odds-API.io with 33 tools for pre-match and live odds from 450+ bookmakers across 34 sports, odds movements, dropping odds, value...

SharpDeps.Mcp

A read-only MCP server that lets AI agents explore .NET solution dependencies — projects, namespaces, and types — with source reference evidence....

Arumi

Generate AI images, video, audio and music with 55 models from Claude Code, Codex or Cursor, with a credit quote before every run.

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MCP Servers FAQ

What is an MCP server?

An MCP server exposes tools or data through the Model Context Protocol so a compatible AI client can use them. Each project has its own installation, authentication and permission requirements.

How do I install an MCP server?

Open a server’s page for its getting-started notes, compatibility and sources, then follow the original project’s documentation for your AI client.

What should I check before installing one?

Entries link to the original documentation. Check access requirements, costs and maintenance there before installing, and grant a server only the access it needs.