MCP server
MCPExplorer Official
io.github.mcpexplorer/mcpexplorer
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
Search, vet & assemble MCP servers from your agent: verified tools, risk labels, and trust scores.
Working at last checkOfficial: mcpexplorer.com's GitHub account (mcpexplorer)About 2,075 tokens per request once connected14 tools
https://mcpexplorer.com/mcp
At a glance
- Type
- MCP server
- Publisher
- mcpexplorer.com (verified by the MCP Registry)
- Status
- Working at last check
- Tools
- 14
- Token cost
- About 2,075 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 26 Oct 2026, 08:29 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.
Claude Code
claude mcp add --transport http mcpexplorer https://mcpexplorer.com/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.mcpexplorer] url = "https://mcpexplorer.com/mcp"
Gemini CLI
{"mcpServers":{"mcpexplorer":{"httpUrl":"https://mcpexplorer.com/mcp"}}}
Cursor
{"mcpServers":{"mcpexplorer":{"url":"https://mcpexplorer.com/mcp"}}}
VS Code
{"servers":{"mcpexplorer":{"type":"http","url":"https://mcpexplorer.com/mcp"}}}
Antigravity
agy mcp add mcpexplorer https://mcpexplorer.com/mcp
ChatGPT
Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.
OpenAI API (Responses tools)
{"type":"mcp","server_label":"mcpexplorer","server_url":"https://mcpexplorer.com/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"mcpexplorer","server_url":"https://mcpexplorer.com/mcp"}
Tools
check_trust~99 tokens
Return the explainable trust score, label, scoring reasons, and verification history for an MCP server.compare_servers~111 tokens
Compare two MCP servers side by side: trust, transport, tools, install, and links.generate_runtime_config~148 tokens
Generate the install + client config for an MCP server in a given runtime (claude-desktop, cursor, vscode, windsurf, cline, continue, goose, openai-agents, langgraph, crewai).get_alternatives~96 tokens
Find verified MCP servers with the same capabilities as a given server, ranked by trust.get_capability~106 tokens
List the best MCP servers that provide a capability (e.g. 'send-email', 'web-search'), ranked by trust.get_ecosystem_stats~102 tokens
Live snapshot of the indexed MCP ecosystem: totals (servers, tools, handshake-verified), provenance and transport breakdowns, and the current top-trust / most-adopted / newest / biggest-trust-riser servers.get_loadout~142 tokens
Fetch one curated loadout: its servers (each with role + LIVE trust/transport/tool-risk from the index), an aggregated governance posture for the whole kit, and the plays (see→decide→act sequences) it's designed to run.get_server~105 tokens
Fetch the full record for one MCP server by slug: install methods, tools, trust, verification, and provenance.list_capabilities~141 tokens
List the capability slugs an agent can filter or look up by (e.g. 'send-email', 'query-database'), most-populated first. Use these with get_capability or search_servers' capability filter — the taxonomy isn't guessable.list_loadouts~112 tokens
List curated loadouts — deliberately-assembled kits of MCP servers + governance + plays for a specific job (GTM, coding, research, support, infra). The agent-facing version of the /loadouts product. Use get_loadout for the full kit with live trust.list_runtimes~94 tokens
List the runtimes generate_runtime_config supports (Claude Desktop, Cursor, VS Code, agent frameworks, …), with each one's config path. Enumerate these instead of guessing runtime slugs.plan_toolset~283 tokens
Turn a plain-language goal into a recommended, governed toolset: the best-fit curated loadout (matched transparently by goal terms) plus an assembled set of the most relevant indexed servers, each with LIVE trust and tool-risk, and an aggregate governance posture for the kit. The decision layer overreport_broken_server~140 tokens
Report that an MCP server's install, docs, or endpoint is broken. Creates a submission for editorial review.search_servers~396 tokens
Search the MCPExplorer index of MCP servers by free text and filters. Omit `query` to browse the whole index ranked by trust score. Every filter either applies or is echoed back in `ignored_filters` with a reason — filters never silently do nothing.
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