"Meta MCP server for searching and selectively loading installed MCP servers" matching MCP servers:

A Model Context Protocol (MCP) server that provides information about installed applications on your computer, support MacOS and Windows.

Deployable MCP clone services for A2A-Meta, hosting pending clones via a multiplexer for Railway deployment.

Relays a result screenshot to Slack so you can review a coding agent's output without opening the app.

A tool that dynamically generates and configures MCP servers by automatically creating necessary directories and files according to user specifications.

A meta API Gateway server that works with the Model Context Protocol (MCP), enabling AI assistants to connect to any API and access real-world data sources through standardized MCP tools.

Enables AI agents to inspect, create, and edit 1C metadata and managed forms in a configurator XML dump without manual XML editing, using metadata_check for dry-run validation and metadata_apply for writes. It enforces platform dump rules, preserves formatting, and supports operations such as object creation, property changes, renaming, role generation, and form amendments.

Enables an MCP server to gate tools/call requests by requiring a per-send channel-policy attestation for outbound actions, checking ROPE-lite origin tags on sensitive arguments, and returning SEP-2643-shaped structured denials with retry handles and remediation hints when a call is blocked. It logs client-asserted audit context (such as turnId and userIntent) for correlation across allowed and denied calls, but never uses that receipt for allow/deny decisions.

Provides a semantic search interface that enables discovery and routing across over 1,000 local MCP tools using natural language queries. It leverages hybrid search and embeddings to accurately match user intent with tool names and descriptions.

An MCP server that exposes authoritative, read-only Conda ecosystem metadata for AI agents, enabling package search, dependency resolution, and other packaging queries without side effects.

A flexible proxy that enables discovery and execution of tools across multiple Model Context Protocol (MCP) servers and JavaScript functions, reducing context size even when dealing with hundreds of tools.

Enables AI coding assistants to discover and configure Meta Developer apps, manage team roles and webhooks, monitor permissions, create test users, and invoke the Graph API directly.

MCP server for searching and analyzing 1C enterprise metadata and BSL code using a SQLite backend. Enables querying configuration structure, code routines, and performing compliance checks via natural language.

Provides AI assistants with comprehensive access to WordPress Meta Trac data, enabling intelligent queries about WordPress.org infrastructure, plugin/theme directories, WordCamp events, and other WordPress.org services through ticket searches, changeset information, and activity monitoring.

Enables Codex to consult Claude Code for a second opinion through a local stdio MCP server, exposing the ask_claude tool for text-only reviews and recommendations using existing Claude Code authentication. Codex can request findings and tradeoff analysis without allowing Claude to edit files or run commands.

Enables AI to dynamically discover and invoke any Cin7 Core API endpoint using three generic tools (list, describe, invoke) plus a bug-report tool, covering the entire API surface without predefined endpoints.

Use Codex as a subagent inside Claude Code: async dispatch into a long-lived codex app-server, results pushed back into the Claude session automatically, steer/interrupt mid-task, and Codex's built-in code review.

Odds are, most of what you want to build is already open source. Tell your AI agent what you're making, and it finds it: which repos to use as they are, which to adapt, and what's left for you to write. Every repo it names is real, licensed for your use or flagged, and checked live.

A CDP-native MCP server that lets AI agents drive a real Chrome browser with deep network/console inspection, robust page interaction, and the ability to reverse-engineer a site's API flow into runnable code with dependency chaining and replay verification.

Enables AI agents to break down complex tasks into manageable pieces using a structured JSON format with task tracking, context preservation, and progress monitoring capabilities.

A live MCP server that connects AI assistants to a running Obsidian instance, enabling full app automation including reading notes, clicking UI elements, managing plugins, and executing JavaScript.