"A clean web agent named x402-cleanweb-agent" matching MCP servers:

Converts any URL to clean, LLM-ready Markdown by removing ads, navigation, and other clutter, using Mozilla Readability and Turndown.

A self-improving knowledge agent that provides local retrieval, web research, and structured answer synthesis for Claude Code and VS Code Copilot via MCP. It enables AI tools to manage a project-specific knowledge lifecycle through automated research and indexing.

Shared knowledge graph for AI coding agents. Search, create, and link verified technical knowledge across 12 node types with trust scoring, demand signals, and auto-provisioning. Install: npx agent-hive-mcp

Publishes an MCP server that lets other AI agents browse a project's unified cross-agent session archive: list projects, view timelines, run full-text searches, read existing digests and session summaries, read session bodies in bounded chunks, check collection stats, and export Markdown. All tools are read-only and truncate long output so callers can decide whether to read further.

Enables AI agents to run reproducible, high-recall literature search across seven source families with RRF fusion, fetch open-access full texts (falling back to abstracts), expand citations, export BibTeX/RIS, and audit reference coverage — all without any LLM API key, leaving query planning and writing to the agent. Multiple agent clients share one accumulating literature pool and background search jobs that keep running after sessions close.

Archive Agent is an open-source semantic file tracker with OCR + AI search (RAG) and MCP capability.

A self-hosted, MCP-native web-search backend for AI agents that provides meta-search, clean extraction, RAG with citations, and GitHub project selection.

A multi-function Streamable HTTP MCP tool aggregation server that provides web search via Brave, Exa, and SearXNG with multi-key rotation and cross-provider fallback, and supports extensible tool families (URL fetch, code search, RAG) through a pluggable architecture.

Self-hosted MCP memory server with a web UI, enabling multiple AI agents to share and manage persistent memories over a single SQLite store via HTTP.

Enables extracting clean, structured markdown from any URL—stripping nav, ads, and scripts—for RAG pipelines and AI research agents, with pay-per-call micropayments via x402.

An MCP server for Perplexity's Agent API, enabling multi-step web research with citations through tools to start, collect, and cancel research runs.

An MCP-based conversational HR agent that handles time tracking queries, policy lookups, adjustment approvals with human confirmation, and BigQuery analytics via natural language.

Exposes tools that let an agent search a local Markdown-based memory store, fetch full cards by id, write new knowledge cards that are indexed immediately, and inspect or rebuild the SQLite index. All retrieval runs locally over Chinese-friendly full-text search with graded exact/prefix matching, so agents without a memory system can recall prior notes while existing Markdown files stay read-only.

A local-first knowledge base for LLM coding agents that indexes repository documentation, concept ontology, and build targets into Qdrant and exposes retrieval as MCP tools (search, get, list sources, reindex).

A provider-neutral MCP server that provides tools for managing skills, agents, references, and artifact memory in a local workspace.

Enables AI agents to discover and query enterprise knowledge documents and business metrics through standardized MCP tools, supporting retrieval, structured sales/order analysis, anomaly scanning, and data lineage lookups.

Enables agents to manage persistent long-term memory through MCP tools for searching, adding, updating, giving feedback, and forgetting memories, with automated pipelines for redaction, distillation, and reconciliation.

Enables cross-session memory and recall for AI coding assistants through a git-synced knowledge base, hybrid semantic and TF-IDF search across tool transcripts, and automatic distillation of insights with secrets scrubbing.

Long-term memory for AI agents. Compiles conversations into a structured knowledge base with Claim/Evidence model, source provenance, append-only timeline, and contradiction detection. Multi-path retrieval (Exact + BM25 + Graph + weighted RRF + reranker) — 96.6% R@5 on LongMemEval-S, zero vector dependencies.

Exposes a churn risk model, a support ticket classifier, and a retrieval-augmented policy Q&A pipeline as callable MCP tools. Enables any MCP-aware AI client to orchestrate all three capabilities within a single conversation.

Enables AI coding agents to query a fully local SQLite FTS5 memory index of a codebase, returning high-density identity cards with exact line references, AST symbol contracts, phase maps, and colloquial intent search so agents can work without scanning raw files. It also supports incrementally syncing code changes and enriching knowledge under a six-pillar quality gate, keeping everything on-device with no cloud leakage.

Exposes a personalized AI agent that reads your resume and provides intelligent responses about your professional background through a standardized MCP server interface with RAG capabilities.

Enables document-based Q&A with multi-modal RAG, hybrid retrieval, knowledge graph reasoning, and multi-agent orchestration via MCP tools.

Exposes order status lookup and knowledge base search tools from the Support Agent AI over MCP, enabling MCP clients to handle customer support queries with grounded, citation-backed answers.

Exposes an Agent Context Graph and ContextPod contract over MCP so agents can describe, resolve, and inspect context revisions and events for a pod. It also lets clients append events while applying required semantic steps such as redaction, cache invalidation, supersession, conflict escalation, and release eligibility.

Enables AI agents to persist and recall episodic memories across sessions, consolidating experiences into reusable rules and lessons to reduce repeated mistakes and improve task performance.

Serves a site's validated public profile, product list and newest-first posts to AI agents through three read-only tools (get_profile, list_products, list_posts) over stdio or any Web Request/Response runtime.

Enables document search, record lookup, and text analysis over MCP with scoped permissions and LangGraph agent orchestration, served via FastAPI.

Enables coding agents to search their own and other agents' sessions and existing Markdown memories locally through MCP, returning provenance-tagged fragments while keeping source files read-only. Indexing, embeddings, and reranking all run locally behind a single daemon with a SQLite index.

Enables Claude Code, Codex and other MCP agents to share one bounded, persistent memory across sessions, so a session starts from what earlier sessions learned instead of re-reading the repository. Storage and retrieval run locally on SQLite full-text search with per-client tokens and scopes, and optional local model enrichment, without any paid model in the path.