Best Perplexity MCP Server MCP Server Alternatives 2026

Knowledge graph-based persistent memory system. Store and retrieve contextual information.

Free and open-source by Anthropic. Knowledge graph stored locally — no external service costs.

Dynamic and reflective problem-solving through thought sequences.

Free and open-source by Anthropic. Runs locally with no external API dependencies.

The Apify MCP server gives AI agents access to 6,000+ ready-made cloud scrapers, crawlers, and automation tools on the Apify Store — no infrastructure required. Connect to Apify Actors that extract data from social media platforms (Instagram, TikTok, LinkedIn), search engines (Google, Bing), e-commerce sites (Amazon, eBay), maps (Google Maps), and virtually any website. Each Actor runs in the cloud with managed proxies, browser fingerprinting, and anti-bot bypass built in. Use the Apify MCP server to query Actors by task, stream results directly into your AI context, run custom scraping Actors from your Apify account, and chain multiple data extraction steps in a single workflow. Supports tool filtering to expose only the Actors you need, and integrates with Apify's RAG web browser Actor for retrieval-augmented generation use cases.

The MCP server is free and open-source. Apify platform: Free tier with $5/mo platform credits. Starter: $49/mo. Scale: $499/mo. Enterprise: Custom pricing.

The Firecrawl MCP server gives your AI assistant the ability to crawl, scrape, and extract structured data from any website — turning raw HTML into clean, LLM-ready Markdown or JSON in seconds. Built by the Firecrawl team, it exposes tools for single-page scraping, deep site crawls (following internal links), and batch URL extraction, all with JavaScript rendering handled automatically so dynamic content is never missed. Developers use it to automate competitive research, build live knowledge bases, extract pricing tables, monitor documentation changes, or feed structured web data into RAG pipelines — all through natural-language prompts without writing a single scraper script. The Firecrawl MCP server handles rate limiting, retries, and proxy rotation behind the scenes. Authentication requires a Firecrawl API key (free tier available). Install with: npx firecrawl-mcp. Works with Claude Desktop, Cursor, VS Code, and any MCP-compatible client. With Firecrawl, any public webpage becomes a structured data source your AI can reason over, compare, and act on — making it the go-to MCP server for web data extraction workflows.

The MCP server is free and open-source. Firecrawl: Free tier with 500 credits. Hobby: $16/mo (3,000 credits). Standard: $83/mo. Growth: $333/mo.

Exa's official MCP server connects AI assistants to a search engine purpose-built for AI, using neural embeddings to match on meaning rather than keywords so agents get clean, ready-to-use content instead of a page of blue links to re-parse. The default tool set covers web_search_exa for quick topical lookups and web_search_advanced_exa for full control over domains, date ranges, and content filters, plus specialized tools for code_search (searching real-world code and GitHub), company_research (building company profiles, competitor lists, and financials), crawling/web_fetch (pulling clean content from a specific URL), people_search and linkedin_search (public professional-profile lookups), and deep_researcher_start/check for long-running multi-step research tasks backed by Exa's Research API. The server is hosted at https://mcp.exa.ai/mcp — no local process to run — and connects via one-line setup in Cursor, VS Code, Claude Code, Claude Desktop (available as a native Connector), Codex, OpenCode, Windsurf, and Antigravity, authenticated with an EXA_API_KEY from the Exa dashboard. Tool exposure is tunable per client via a ?tools= query parameter on the endpoint URL, letting teams ship narrow, purpose-built configurations (e.g. company-research-only or LinkedIn-only agents) instead of exposing the full surface, and Exa ships ready-made Claude Skills/agent definitions for common patterns like company research and people search with built-in query-variation and token-isolation guidance.

The MCP server is free and open-source. Exa: Free tier with 1,000 searches/mo. Pro plans available for higher volume. See official pricing.

The Brave Search MCP Server is the official server from Brave that gives AI assistants privacy-first web search through the independent Brave Search API — no tracking, no profiling, and results drawn from Brave's own web index rather than Google or Bing. It exposes five distinct tools that map directly to the Brave Search API endpoints: brave_web_search for general queries with pagination, freshness filters, and safe-search controls; brave_local_search for businesses, restaurants, and points of interest with automatic location filtering; brave_news_search for recent articles and current events; brave_image_search for image discovery; and brave_video_search for finding videos across the web. Authentication uses a single BRAVE_API_KEY (free tier available at brave.com/search/api) or a mounted BRAVE_API_KEY_FILE for Docker-secret setups. Install in Claude Desktop, Cursor, Windsurf, or VS Code with one npx command and choose stdio or streamable-HTTP transport. Because Brave operates its own crawler and index, the Brave Search MCP server is a strong choice for developers who want an alternative to Google-dependent search tools, need reproducible non-personalized results, or care about data privacy in agent workflows — Claude can pull fresh web context, verify facts, and research topics without leaking queries to ad-tech pipelines.

The MCP server is free and open-source. Brave Search API: Free tier with 2,000 queries/mo. Paid plans for higher volume starting at $3/1000 queries.

Search, Query and interact with data in your Milvus Vector Database.

Free and open-source MCP server. Milvus is open-source. Zilliz Cloud (managed): Free tier available, paid plans for production use.

Embeddings, vector search, document storage, and full-text search with the open-source AI application database.

Free and open-source MCP server. Chroma is open-source and free to self-host. Chroma Cloud currently in development.

OpenAI does not publish a dedicated, first-party "MCP server" for its own API — a `openai/mcp-server` repo does not exist. Instead, OpenAI's official open-source contribution to the MCP ecosystem is on the client side: openai/openai-agents-python (27,000+ stars), a lightweight framework for building multi-agent workflows with the OpenAI API that ships native support for connecting to MCP servers as a tool source, letting an OpenAI-model-powered agent call out to any MCP server (filesystem, GitHub, databases, etc.) the same way a Claude-based agent would. In other words, OpenAI's MCP investment is "consume MCP tools from an OpenAI agent," not "expose OpenAI itself as an MCP server." Teams that specifically want to call OpenAI's chat, embeddings, or image-generation endpoints as MCP tools from Claude, Cursor, or another MCP client instead rely on small community-built wrapper servers around the OpenAI SDK, authenticated with an `OPENAI_API_KEY`, exposing tools like generate_completion, generate_embedding, or generate_image. Typical use of the Agents SDK side: build a Python agent that uses GPT models for reasoning while pulling live context through an MCP filesystem or web-search server. Update this entry if OpenAI ships a genuine first-party MCP server for its own API in the future.

The MCP server is free and open-source. OpenAI API: Pay-per-token pricing. GPT-4o: ~$5/1M input tokens. GPT-3.5 Turbo: ~$0.50/1M input tokens. See official pricing.

Connect to Hugging Face Hub APIs - search spaces, papers, explore datasets and models.

The MCP server is free and open-source. Hugging Face: Free tier for public models. Pro: $9/mo. Enterprise Hub: Custom pricing. Inference API has free and paid tiers.