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  3. Web Retrieval MCP
Web Retrieval MCP logo
Health: ActiveRecent health check succeeded.Last checked 9/23/2026, 1:01:23 AM

Web Retrieval MCP

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View Repository1 GitHub StarsTotal stargazers on GitHub for the source repository (1 stars).Visit Website
web-searchweb-retrievalresearchdeveloper-toolsssrf

Read-only MCP web search and retrieval with Exa, Tavily, Firecrawl, Camoufox, provenance, and SSRF protections.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
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We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Configure Environment Variables (API Keys, Tokens, Options):
Add required secrets below β€” values are included directly in the generated snippet so you can copy and paste with confidence.
Quick Add:
Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "web-retrieval-mcp": {
      "command": "uvx",
      "args": [
        "web-retrieval-mcp"
      ],
      "env": {
        "EXA_API_KEY": "YOUR_VALUE_HERE",
        "FIRECRAWL_API_KEY": "YOUR_VALUE_HERE",
        "TAVILY_API_KEY": "YOUR_VALUE_HERE"
      }
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Tool Schemas (2) Directory Badge Claim listing AlternativesπŸ”Ž More in Search & Data Extraction

Overview

web-retrieval-mcp MCP server provides read-only web search and page retrieval for compatible AI clients. It searches through Exa or Tavily and can retrieve pages through an escalation path involving indexed content, local Camoufox rendering, Tavily Extract, and Firecrawl. Results expose source details, while fetch responses identify the serving tier, cache state, semantic mode, and truncation. Reach for it when an agent needs inspectable web research, alternate retrieval paths, specialist paper or developer-source search, or local deployment controls.

Use cases

β€’Search the web with source-separated results
β€’Fetch readable content from difficult pages
β€’Discover AI and machine-learning papers
β€’Search developer documentation and repository activity
β€’Run retrieval locally with SSRF protections

Key features

β€’Exa and Tavily web search
β€’Tiered page retrieval with Firecrawl fallback
β€’Local Camoufox rendering
β€’Source and serving-tier provenance
β€’AI/ML paper and developer-source search
β€’Optional Valkey caching

Capabilities & Tool Schemas (2) ~68 tokensApproximate context cost of this server’s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server β€” may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by Web Retrieval MCP.

web_search

Neural web search via Exa. One block per result β€” each with its own title, URL, published date, highlights, and text β€” plus a `Sources` list. `mode` ∈ `auto` \

web_fetch

One URL's readable content through the tier chain, with a `[served by: …]` provenance header.

How Web Retrieval MCP works

What web-retrieval-mcp MCP server does

The web-retrieval-mcp MCP server exposes read-only web research tools over Model Context Protocol. Its documented core operations are web_search and web_fetch. Search results are returned as separate blocks containing fields such as the title, URL, publication date, highlights, and text, followed by a Sources list. Exa deep search modes can also return a labeled synthesized answer and grounding when the provider supplies it.

Page retrieval supports a full readable body, a shorter summary, or an answer grounded in a question about the page. Responses include provenance information, including which retrieval tier served the content. The package also includes tools for discovering AI and machine-learning papers and searching developer material such as documentation, READMEs, issues, and merged pull requests.

How it works

Search can use Exa or Tavily, with Firecrawl available as a disclosed fallback. Full-page retrieval follows a tiered route: indexed content is attempted first, then a local Camoufox browser can handle rendered pages, followed by optional Tavily Extract and Firecrawl paths. The selected route depends on the request and the configured providers and optional packages.

The web-retrieval-mcp MCP server accepts controls for freshness, date ranges, domains, categories, result counts, rendering, and per-result text size. Fetch responses identify the serving tier, cache state, semantic mode, and whether content was truncated. Unsupported provider selections, missing optional dependencies, and unavailable credentials are reported in tool results rather than silently ignored.

The server can run locally over stdio or as a loopback HTTP service. An optional Valkey sidecar can cache completed fetch results, and the server validates initial URLs and guards browser requests and redirects against SSRF risks.

Setup and configuration

Python 3.10 or newer is required. A minimal installation is available with pipx install web-retrieval-mcp; uvx web-retrieval-mcp can run it in a temporary isolated environment. The all extra adds the optional Tavily, local rendering, Valkey cache, and native key-store capabilities. Installing the rendering extra and using Camoufox requires running camoufox fetch to download its managed browser.

Exa and Firecrawl credentials provide the broadest routing coverage. Tavily is optional and adds provider-selectable search and another extraction tier. The documented environment variables are EXA_API_KEY, FIRECRAWL_API_KEY, and TAVILY_API_KEY. Credentials are resolved lazily, so a missing key is reported when a selected route needs it. The README also describes key-file and operating-system secret-store alternatives.

Claude Desktop, Cursor, Codex, Claude Code, and other clients accepting MCP server configuration can launch the executable directly. Clients without it on PATH can use uvx with web-retrieval-mcp as the argument.

Limitations and notes

Provider availability and capabilities depend on installed extras and configured credentials. Local rendered retrieval requires the Camoufox package and browser download. Tavily mappings, Firecrawl fallback filter gaps, and some Exa category or filter changes can affect requests and are surfaced to callers or server diagnostics.

The server is intended as a separate retrieval lane and can complement built-in agent web tools. The package includes an optional previewable hook installer for replacing Claude Code's built-in web tools, but that behavior is not required for normal MCP use. Provider pricing and entry allocations can change, so current provider terms should be checked before estimating usage.

Read the full README β†’View source on GitHub β†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

GitHub stars
1
Stargazers on the source repository.
Last commit
23d ago
Most recent push to the default branch.
Tools exposed
2
Callable tools this server registers over MCP.
Directory activity
3 views
Config copies, upvotes, and views on AllMCPs.

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Frequently Asked Questions about Web Retrieval MCP

Install it with pipx using `pipx install web-retrieval-mcp`, or run it without a permanent installation with `uvx web-retrieval-mcp`. Python 3.10 or newer is required.

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Technical Specs & Signals

CategoryπŸ”ŽSearch & Data Extraction
PricingBring your own API key (usage-based cost)
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimePython
AuthAPI key
LicenseMIT
ClientsClaude Desktop, Cursor
Last updatedSep 7, 2026
11/12 checks healthy over the last 45d
Views3
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars1
GitHub Star CountTotal stargazers on GitHub representing community popularity (1 stars).
Last commit23d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Sep 1, 2026
53Quality signal: Good Β· 53/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools26/30
Adoption & activity4/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 3d ago via OSV.dev Β· web-retrieval-mcp (PyPI)

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More in πŸ”Ž Search & Data Extraction β†’Best MCP servers for Web Search & Scraping β†’Alternatives to Web Retrieval MCP β†’Install in Claude DesktopInstall in CursorInstall in VS CodeSetup guides for all 13 MCP clients