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MCP servers
Compare source listings, connection options and authentication requirements.
Showing 3,313–3,336 of 165,916 resultsPage 139 of 6,914
Candidate groups, not verified unique MCPs. How grouping works
Enables agents to interact with the Emergence Science protocol for posting tasks, submitting solutions, and earning rewards through verifiable test cases.
MCP server for integrating AI models with Emeritus services, enabling user management, tag operations, order management, and leads import via a standardized interface.
The accountability layer for AI agents — a named human's signed yes before an agent does anything irreversible (payment, record change, deploy), then an offline-verifiable Trust Receipt. Apache-2.0, formally verified.
Bridges MCP-stdio clients to a remote emoji service, enabling emoji search, details, random picks, Emoji Kitchen mashups, and LLM-powered recommendations and replacement suggestions.
Remote MCP server that provides access to 180+ AI models, media generation, web search, batch jobs, GPU Cloud, and hosted agents as tools, using OAuth or API key authentication.
Enables AI agents to manage EMQX Cloud through separate Platform and Deployment API connections, covering project and deployment lifecycle, MQTT client, subscription and metric inspection, built-in authentication users and ACL rules, banned lists, retained messages, publishing, and data integration. It is read-only by default, with opt-in flags for write, destructive, and integration operations.
Enables LLM applications to query and visualize data from Bosch/Buderus heat pumps via ems-ESP, including temperatures, statistics, and heat curves through natural language.
MCP server providing tools for AI-agents to interact with Enapter EMS.
Encoder AI - MCP server providing AI-powered tools and automation by MEOK AI Labs
Enables AI agents to convert files, render web pages to markdown/PDF/screenshots, search the live web, extract structured data, ingest RAG-ready chunks, and monitor pages for changes through a single API key.
Software end-of-life intelligence for AI agents: EOL dates, support timelines and 0-100 upgrade risk scores for 480+ products. Check whether a version is still supported, score its risk, or audit an entire stack.
Enables AI agents to send, receive, and reply to email through dedicated thread-aware mailboxes, with sandbox testing and compatibility across MCP clients.
Global shared procedural memory layer for AI agents via MCP. Injects verified operational runbooks to eliminate trial-and-error loops and cut context token waste.
Persistent memory for AI agents. Stores verbatim conversation transcripts and makes them searchable by meaning via semantic embeddings.
The memory operations platform for production AI agents — eval-weighted recall, multi-evaluator consensus, GDPR Art. 17/20 governance, multi-tenant RBAC, and audit logging built in.
Offers MCP tools for managing a local AI memory vault, including remembering, searching, context packing, deletion, and verification of receipts.
Enables AI assistants to keep and retrieve private context locally, with verifiable receipts and optional Solana anchoring for public proofs.
MCP server for en.ke link management enabling AI agents to shorten URLs, manage links, and view analytics.
Integrates AI safety analysis, red-teaming, and prompt auditing directly into MCP-compatible clients like Claude Desktop and Cursor IDE, allowing real-time analysis of prompts and detection of jailbreak attempts.
A proxy server that sits between MCP clients and servers, providing authentication, tool discovery, caching, and guardrail enforcement to protect MCP servers from malicious inputs.
MCP server that orchestrates multi-agent reviews by running installed agent CLIs, tracking child tasks, and using Compare to produce a traceable recommended answer with receipts.
Enola. is a local Model Context Protocol (MCP) server. A deterministic map of your codebase for AI coding agents — the real architecture, extracted from your source, not guessed.
Provides 25 tools to enrich company, person, contact, school, and job data via the Enrich Layer API, enabling lookups, profiles, and contact discovery.
What this catalog covers
- Source listings
- 167,896
- Candidate groups
- 168,272
- Setup-eligible endpoints
- 30,743
Sources observed 2026-10-24–2026-11-11. Listings can overlap across sources. Groups are identity candidates; setup eligibility is not a successful connection test.
SourcesMCP data from Glama connectorsMCP data from Glama source codeOfficial MCP RegistryClaude connector directoryAPI Tracker · publisher documentationSlack MCP directory
Default browsing excludes 2,356 specialized utility groups across the catalog. They remain available through keyword search and direct links. This editorial filter does not change the indexed totals or establish publisher quality.
Categories currently cover records matched to our reviewed catalog; other listings remain Uncategorized. Source-only projects have no generated connection option. Browse reviewed official MCPs →
- Glama connectors
API result set; pagination may cap at approximately 1,000 connectors. Not exhaustive.
- Glama source code
Complete chronological source-code catalog response; includes source-reported author classifications, not publisher attestations or ready-to-use endpoints.
- Official MCP Registry
Complete paginated registry response; registry membership is not publisher verification.
- Claude connector directory
Complete public Claude directory MCP components. Source tiers, tools, icons and sign-in hints are declarations, not publisher or runtime verification.
- API Tracker · publisher documentation
Reviewed publisher and third-party remote, local and setup-only MCP listings. Publisher status is retained per exact connection. Discoverability does not establish connection readiness.
- Slack MCP directory
Reviewed additions discovered through the public Slack Marketplace MCP category. Complete discovery inventory is retained separately; membership does not prove external-client compatibility.
Listings are grouped by exact public endpoints, exact package sets, or explicit reviewed identity bindings. Shared names or repositories alone do not merge implementations. Official includes publisher evidence and accepted source author classifications. It does not mean independently verified, runtime-tested or security-certified.