"SearXNG - Open Source Metasearch Engine" matching MCP servers:

An MCP server for connecting agentic systems to search systems via searXNG.

Gives coding agents a single search tool backed by a self-hosted SearXNG instance, parsing and scrubbing queries, merging duplicates, and ranking results with BM25F plus optional decision-model reranking. Returns compact, token-efficient results with relevance bands, engine warnings, and optional stop/refine/broaden hints.

Routes every Claude Code/Hermes prompt through a local LLM planner and Open-Jev probe, injecting calibrated probability context while failing open if local services are unavailable.

This server provides a privacy-focused meta search capability by integrating multiple search engines without tracking or user profiling, supporting various categories and languages for filtered searches.

Exposes SearXNG web search and query autocomplete to AI clients, returning ranked results, instant answers, and suggestions with filters for category, language, time range, engines, page, and safe search. It is distributed via npx and requires a self-hosted SearXNG instance with the JSON format enabled.

Enables AI coding agents to spawn, parallelize, and synchronize multi-agent programming swarms through a stdio MCP interface. Provides tools for DAG-scheduled task dispatch, isolated Git worktree execution, atomic file locking, shared blackboard memory, and clean merging of completed agent work back to the main repository.

An AI-native product development pipeline that guides users from idea to shipping with structured research, architecture, build, validation, and traceability using 52 tools across 4 domains.

Enables Claude to delegate web search, page reading, text drafting, and parallel multi-model image generation to cheaper helper models on any OpenAI-compatible backend. Claude stays in charge of planning and final decisions while consuming fewer of its own tokens.

Connects Claude Code and Codex to Jev-compatible System One services for context compaction, completion verification, and decision tasks like screening, classification, and gating.

A deterministic MCP server that executes 10-step topology pipelines on Cloudflare Workers, providing structured progress snapshots and adaptive JSON templates for AI agents.

Enables multiple MCP agents to read and write a single user-controlled, local-first fact layer under one user identity with explicit scopes, preserving sources, versions, permissions, and audit history. Supports structured memories such as preferences, facts, task state, and decisions, plus structured handoff capsules so one agent can resume another's work by task ID.

Enables AI agents and IDEs to discover, install, and execute skills over Model Context Protocol via stdio or SSE, with semantic search and framework bridges.

Wraps a dependency-free memory lifecycle engine as six read-only MCP tools, letting any agent extract facts with pure regex, score signals, compute Ebbinghaus decay and archival judgments, and simulate a full five-stage dream cycle for long-term memory growth. Runs over stdio or streamable HTTP with no API key, storing no caller data.

A multi-tenant memory and reasoning substrate for AI agents that provides tenant-isolated, append-only, and auditable memory with vertical business engines for procurement, sales, project management, and more, exposed via MCP and REST.

Edge-deployed predictive decision engine and circuit-breaker orchestrator for AI agents. Features low-latency telemetry, automated failover routing, and Bitcoin Lightning micro-payments.

Enables AI agents to control Chrome, Edge, Brave and other Chromium browsers through an extension and native messaging host, exposing a Claude-in-Chrome-compatible tool set for real clicks, typing, screenshots, accessibility-tree reading, page text, form filling, JavaScript execution, console and network inspection, file uploads and GIF recording. Agent sessions run in isolated tab groups with per-site permission prompts, activity logging and a global stop control.

Enables AI agents to control a live Blender session through the Model Context Protocol, including scene and object manipulation, rendering, PolyHaven asset access, and runtime switching between multiple LLM backends.

Unified AI Agent SaaS Connector & Multi-Provider Gateway connecting to 1,000+ SaaS platforms, vector databases, and 500+ LLM models via MCP, REST API, and CLI.

A registry that enables MCP clients to discover and install MCP servers.

Enables MCP clients to perform speculative tree-search action prediction and prefetching using Laplace-smoothed Markov transitions, returning deterministic JSON tool results.

Enables IDE and MCP hosts to install a user-level adapter that exposes a single tool for project-aware introductions, engine-authorized tool selection, and task execution over shared CLI/SDK sessions. It also supports authenticated remote endpoints and a local HTTPK wrapper, with autonomous or confirm modes and scoped bearer handling.

Provides Claude Desktop with persistent memory across sessions, storing up to 10,000 memories with semantic search and automatic context bridging. Features temporal versioning and anti-degradation protocols to maintain conversation continuity.

Enables an LLM to orchestrate multiple downstream MCP tools inside one isolated sandbox in a single turn, filtering intermediate results in memory and returning only the final output to cut context tokens.

An MCP server that enables concurrently-running Claude Code sessions to cross-talk via channels, DMs, and leader coordination, all backed by a shared beads database.

A Model Context Protocol server that provides access to Aiven services (PostgreSQL, Kafka, ClickHouse, Valkey, OpenSearch), enabling LLMs to build full stack solutions by interacting with these services.

Enables MCP-compatible AI coding agents to retrieve shared skills, project architecture maps, vault secret statuses, handoff checkpoints, external MCP definitions, and code audit results on demand across multiple IDEs. It reduces context tokens and supports secure, cross-agent task continuity.

A universal MCP server that enables any MCP-compatible agent to use Anthropic's Claude Agent Skills with progressive disclosure, reducing context overhead while maximizing capability.

A LangGraph-powered MCP server for infrastructure orchestration with autonomous subagents.

Enables multi-agent systems to share and coordinate a common state space over MCP, detecting concurrent mutation race conditions, synchronizing state through vector clocks, and resolving conflicting decisions via consensus arbitration. Also supports deterministic policy validation and cryptographic state hashing with zero external dependencies.

MCP server for browser automation, exposing tools for tab management, navigation, CDP, action plans, and cleanup.