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  1. Home
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  3. Touch Browser
Touch Browser logo
Health: ActiveRecent health check succeeded.Last checked 9/11/2026, 3:00:34 PM

Touch Browser

User RatingsBe the first to rate and review this MCP server!
View Repository10 GitHub StarsTotal stargazers on GitHub for the source repository (10 stars).Visit Website
researchweb-researchcitationsbrowser-automation

Verifies web claims against page evidence, returning verdicts, confidence bands, snippets, citations, and session-level research results.

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

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "nangman-infra-touch-browser": {
      "command": "npx",
      "args": [
        "-y",
        "@nangman-infra/touch-browser-mcp"
      ]
    }
  }
}

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

Install Directory Badge Claim listing AlternativesπŸ”¬ More in Research

Overview

The nangman-infra/touch-browser MCP server gives AI agents page-grounded web research with claim verdicts, evidence snippets, confidence bands, and citations. It opens pages, builds structured snapshots, and evaluates whether the current page supports, contradicts, or fails to establish a claim. MCP clients use a session flow with `tb_session_create`, `tb_open`, and `tb_extract`, while multi-page work can be synthesized across opened tabs. Reach for it when answers need traceable source evidence and an explicit unresolved path instead of relying on raw page fetches.

Use cases

β€’Verify a factual claim against a specific web page
β€’Collect citation-linked snippets for an agent response
β€’Compare evidence across multiple research pages
β€’Route uncertain claims to further browsing or review

Key features

β€’Page-local claim verdicts
β€’Confidence bands and review recommendations
β€’Citation URLs with retrieval timestamps
β€’Reusable evidence snippets
β€’Multi-page session synthesis
β€’Headless browser research

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by Touch Browser.

Extracted Tool Capabilities
Page-local claim verdicts
Confidence bands and review recommendations
Citation URLs with retrieval timestamps
Reusable evidence snippets
Multi-page session synthesis
Headless browser research

How Touch Browser works

What the nangman-infra/touch-browser MCP server does

The nangman-infra/touch-browser MCP server evaluates claims against the content of web pages. Rather than returning only raw HTML or converted Markdown, it opens a page, creates a structured snapshot, and maps each submitted statement to an evidence result. The result can indicate that the page supports the claim, contradicts it, lacks enough evidence, or requires another page.

Each claim outcome can include a confidence band, a review recommendation, support snippets, a verdict explanation, match signals, and citation details. Citations include the source URL and retrieval time. Reusable-claim indicators help an agent determine whether evidence may be passed into a later answer, while unresolved outcomes provide a safer alternative to presenting a weak match as fact.

The tool is evidence-grounded rather than fact-final. It records page-local support and provenance, but a model or human still needs to decide what is true across several pages or beyond the collected sources.

How it works

For MCP use, an agent creates a session, opens one or more pages, and extracts claim results. The documented sequence is tb_session_create β†’ tb_open β†’ tb_extract. Multi-page session synthesis aggregates grouped results from the pages opened in that session.

The extraction response exposes per-call claimOutcomes, along with grouped views for supported, contradicted, insufficient, and more-browsing-needed claims. An agent can first inspect verdict, then check reviewRecommended, read primarySupportSnippet when it needs an evidence line, and follow nextActionHint if the result does not resolve the question.

Browsing is headless-only and uses automatic search-engine selection. If a site presents a challenge, authentication step, or MFA flow, the documented behavior is a supervised recovery handoff rather than blind automation. The project also describes replayable, auditable multi-page research sessions.

Setup and configuration

The primary local MCP installation uses the public npm package @nangman-infra/touch-browser-mcp. A host such as Claude Desktop or Cursor can launch it with npx -y @nangman-infra/touch-browser-mcp. On first launch, the package downloads a matching standalone runtime from GitHub Releases, verifies its SHA-256 file, installs it under the user’s touch-browser npm runtime directory, and starts the MCP service.

The repository also provides standalone macOS and Linux bundles. These include the touch-browser command, the optimized runtime, a Node runtime, and the Playwright adapter. A bundle is installed with its install.sh script. The slim profile includes Playwright Chromium and downloads semantic or NLI models lazily; a full profile can include warm model caches for offline use.

Browser actions use the Playwright adapter by default. New CLI deployments can select the Rust CDP adapter with TOUCH_BROWSER_BROWSER_ADAPTER=cdp-rust; that path still requires Chrome or Chromium, and TOUCH_BROWSER_CDP_BROWSER can specify a nonstandard browser location.

Tools and capabilities

The nangman-infra/touch-browser MCP server supports:

  • Creating browser research sessions.
  • Opening pages for structured capture.
  • Extracting and classifying claim evidence.
  • Returning support snippets with stable references.
  • Reporting confidence bands and review recommendations.
  • Providing source URLs and retrieval timestamps.
  • Synthesizing evidence across pages in a session.
  • Handling browser-backed actions through Playwright or the optional Rust CDP path.

Use the standalone CLI for commands such as quickstart, doctor, and quick; MCP hosts do not expose the quick CLI command directly. The local diagnostics check the executable, runtime resources, data root, Node runtime, Playwright Chromium, MCP bridge entrypoint, and semantic model readiness.

Limitations and notes

Evidence is scoped to the pages that were opened and the claims submitted. An evidence-supported result does not establish universal truth, and an unresolved result may require another page or human review. Claims marked for review should not be reused without that review or a second verification pass.

The MCP path is intended for public documentation and research web content. Challenge, authentication, and MFA situations use supervised recovery handoff. The Rust CDP browser path requires Chrome or Chromium, while semantic and NLI models may be downloaded lazily depending on the bundle profile.

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

Related MCP Servers

View all in Research View all alternatives
  • BrowserAI Dev logoBrowserAI Dev

    Evidence-backed web research for AI agents. Real-time search with cited claims, confidence scores, and compare mode (raw LLM vs evidence-backed). MCP server, REST API, and Python SDK.

    πŸ”¬ Research3 views
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  • Onecite logoOnecite

    Generate academic citations from DOI, arXiv, titles, or URLs in BibTeX, APA, MLA formats.

    πŸ”¬ Research2 views
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  • Scholar Sidekick MCP logoScholar Sidekick MCP

    Resolve any scholarly identifier (DOI, PMID, PMCID, ISBN, arXiv, ISSN, ADS bibcode, WHO IRIS URL) into structured CSL JSON, format in 10,000+ citation styles, or export to BibTeX/RIS/EndNote/Zotero RDF/CSV. Single or batch. Install: npx -y scholar-sidekick-mcp.

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  • Scholar Feed MCP logoScholar Feed MCP

    Semantic search over 600k+ CS/AI papers with citation-graph traversal, full-text extraction, embeddings, and BibTeX export. Works anonymously or with a free key. Install: npx scholar-feed-mcp init.

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Adoption & maintenance

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

GitHub stars
10
Stargazers on the source repository.
npm downloads
71
Package downloads in the last 30 days.
Last commit
2mo ago
Most recent push to the default branch.
Directory activity
3 views
Config copies, upvotes, and views on AllMCPs.

Reviews

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Frequently Asked Questions about Touch Browser

Run it locally with `npx -y @nangman-infra/touch-browser-mcp`. On first launch, the package downloads and verifies its matching runtime bundle.

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Technical Specs & Signals

CategoryπŸ”¬Research
PricingFree
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
AuthNo auth required
LicenseMPL-2.0
ClientsClaude Desktop, Cursor
Last updatedSep 7, 2026
9/13 checks healthy over the last 33d
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 stars10
GitHub Star CountTotal stargazers on GitHub representing community popularity (10 stars).
Last commit2mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Jun 15, 2026
npm downloads71/mo
Monthly npm DownloadsAverage monthly package installs recorded from npm registry statistics.
52Quality signal: Good Β· 52/100How 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 & tools23/30
Adoption & activity6/15
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 20d ago via OSV.dev Β· @nangman-infra/touch-browser-mcp (npm)

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More in πŸ”¬ Research β†’Best MCP servers for Research β†’Alternatives to Touch Browser β†’Install in Claude DesktopInstall in CursorInstall in VS Code