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footnote-mcp server

by KazKozDev·io.github.KazKozDev/footnote-mcp·v0.2.6·2 stars

Source-grounded web research: search, extraction, verification, and browser automation.

A88/100grade A
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A88/100

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2 stars27 downloads/wk

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footnote-mcp tools (45, 3 write)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

  • archive_search

    Find archived captures of a URL or host through the Wayback Machine and Common Crawl; optionally extract archived text.

  • browser_extract_tables

    Extract visible tables from the current browser page after navigation/interactions.

  • browser_extract_tables_for_date_range

    Set date range in the current browser page, submit it, then extract visible tables.

  • browser_set_date_range

    Best-effort browser date-range setter for interactive pages with date inputs.

  • build_research_debug_report

    Build a compact diagnostic report for a research run: queries, URLs, source quality, and verification gaps.

  • check_date_completeness

    Validate date-range completeness for structured results. Supports day, week, and month granularity.

  • classify_source

    Classify a source as official, aggregator, blog, forum, interactive, blocked, or error.

  • corroborate_claim

    Triangulate a claim across multiple source excerpts; returns a corroboration verdict (corroborated/conflicting/single_source/...).

  • encyclopedia_search

    Search Wikipedia articles and Wikidata entities, or execute a read-only Wikidata SPARQL query.

  • evidence_entailment

    Strict entailment check for claim vs source excerpt. Supports heuristic, Ollama judge, or auto fallback.

  • export_datasetwrite action

    Write extracted rows to a consolidated file (csv | xlsx | json) and return the path.

  • generate_search_queries

    Generate specialized search queries using operators like site:, filetype:, API, CSV, and data-table variants.

  • github_search

    Search public GitHub repositories, issues, code, or commits. Authentication is optional; zero-key requests use GitHub's public rate limit.

  • locate_claim_span

    Locate the sentence(s) in a source that best support a claim, with character offsets and a containment score (span-level provenance).

  • papers_search

    Search scientific publications through Crossref and arXiv. Uses no API key and returns one normalized paper result shape.

  • recipe_registry

    Manage promoted extraction recipes: list, get, run, or delete saved recipes.

  • reconcile_time_series

    Align several time series on a common key, compute deltas vs the first series, and flag missing keys and outliers.

  • resolve_units

    Resolve units, currencies, and currency pairs from text so incompatible rows can be rejected.

  • source_cache_get

    Read persistent source cache entry for a URL.

  • source_cache_putwrite action

    Write arbitrary parsed source payload into persistent source cache.

  • startup_health_check

    Check optional parser, OCR, browser, and cache dependencies for this MCP server.

  • tool_code_generate

    Generate a safe starter extraction recipe function for the proposed spec. The result must still be validated before running.

  • tool_code_run_sandboxedwrite action

    Run validated extraction recipe code in a separate limited subprocess. Code must define extract(source_text, input_payload).

  • tool_code_validate

    Statically validate task-specific extraction code against the safe recipe contract and allowlist.

  • tool_promote

    Save a validated extraction recipe as reusable memory after an optional smoke test. Does not edit the MCP server.

  • tool_spec_propose

    Propose a controlled task-specific extraction recipe spec when generic tools cannot extract structured rows.

  • validate_unit_rows

    Reject structured rows that are incompatible with the expected unit, currency, or currency pair.

  • web_archive_fetch

    Find the closest Wayback Machine snapshot of a URL (for dead or changed sources) and optionally read its text.

  • web_click

    Click an interactive element by its ref (e.g. @e3 from web_snapshot).

  • web_crawl

    Breadth-first crawl from a start URL, fetching and extracting each page. Stays on the start host by default. Capped at 50 pages.

  • web_deep_search

    Iterative evidence-led deep research: decompose requirements, search unresolved gaps, extract text/tables/files, verify each fact, and return a diagnostic funnel plus source-grounded context.

  • web_detect_downloads

    Detect downloadable CSV/XLS/XLSX/PDF/JSON/XML links on a page.

  • web_extract

    Extract text from the page. refs: comma-separated @eN, or 'visible' for all visible text, or 'all' for full HTML.

  • web_extract_tables

    Fetch a page, parse HTML tables, and return structured columns/rows with source URL provenance.

  • web_fetch_authenticated

    Fetch a page that needs cookies or custom headers (logged-in or gated pages).

  • web_fetch_json

    Fetch an API/JSON URL directly and return parsed JSON with source URL provenance and persistent cache.

  • web_navigate

    Navigate the browser to a URL.

  • web_parse_file

    Download and parse CSV/TSV/XLSX/PDF/JSON files, returning structured rows or extracted text with provenance.

  • web_read

    Fetch and extract text from a single URL. Returns extracted content (markdown).

  • web_screenshot

    Capture a PNG screenshot of the current browser page, save it to disk, and optionally OCR text locked inside the image.

  • web_scroll

    Scroll the page: up, down, top, bottom.

  • web_search

    General web discovery. Uses configured providers plus zero-key Bing, DuckDuckGo, Brave, and Wiby. Marginalia is opt-in through auto+marginalia. Returns normalized titles, URLs, snippets and scores.

  • web_search_recent

    Web search restricted to a recency window via DuckDuckGo's date filter (day/week/month/year).

  • web_snapshot

    Capture the current page state: URL, title, accessibility tree with stable refs (@e1, @e2...), and visible text. Use this before clicking/typing.

  • web_type

    Type text into an input field by its ref.

Public scan report

scanner v0.1.10 · 2026-11-04 · same rubric, same numbers if you re-run it

no findings
  • Code scan30 source files scanned25/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitylocal package, no credentials required12/15
  • Maintenancelast push 59 days ago12/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
Overall 88/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How footnote-mcp compares

Against every graded Scraping and browsing MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
88/100
higher than 70% of 867 Scraping and browsing servers
Tools
45
the typical Scraping and browsing server has 6
Tools that change things
7%
typical: 0%. Fewer write tools means less an agent can break
GitHub stars
2
more than 65% of 584 Scraping and browsing servers
Downloads a week
27
more than 7% of 312 Scraping and browsing servers with a package

What its tools let an agent do: 39 read · 1 create · 3 change · 1 delete · 1 run or deploy

Install footnote-mcp in Claude Code, Cursor or VS Code

claude mcp add footnote-mcp -- uvx footnote-mcp
Add to Cursor

What the publisher says

From the footnote-mcp repository's README, as published. We do not edit it. Read it on GitHub

footnote-mcp — web research MCP server with claim verification

Search, extract data, and verify every claim against the source page.

Unlike search APIs (Tavily, Exa) or scrapers (Firecrawl) that return raw text or markdown, footnote-mcp is built for verification: every claim is checked against the raw source text with sentence-level citations and character offsets, with zero required API keys.

Add to Cursor · Claude Desktop setup

Runs without API keys · 45 tools · MIT licensed

<!-- mcp-name: io.github.KazKozDev/footnote-mcp -->

Quick start

pip install footnote-mcp
python -m playwright install chromium   # browser tier for JS-heavy and blocked pages

footnote-mcp speaks MCP over stdio. Point a client at it — Claude Desktop's claudedesktopconfig.json, or Cursor's ~/.cursor/mcp.json:

{"mcpServers": {"footnote": {"command": "footnote-mcp"}}}

No API keys are needed to start. Restart the client and ask it to run startuphealthcheck: it reports, one line each, whether the extractors, the PDF and spreadsheet parsers, the browser, OCR and the cache directory are usable on this machine — so a missing optional piece shows up now rather than halfway through a research task.

Search the web without configuring an API key

Ask the assistant to look something up and web_search queries the zero-key providers — Bing, DuckDuckGo, Brave, Wiby — alongside any keyed provider you configured, then deduplicates and merges them into one ranking.

Every result carries the engines that returned it, so a page two independent indexes agree on is distinguishable from one only a single engine found, and a relevance score. Snippets count as discovery only: nothing at this stage is evidence yet, which is what the next two sections are for.

Provider routing, keys, and semantic reranking: docs/search-backends.md.

Extract tables and files from a page into structured rows

webextracttables turns a page's HTML tables into named columns and rows, each set tagged with the URL it came from and with the true total, so a truncated answer says so instead of looking complete. Point it at a Wikipedia revenue table and you get Rank, Name, Industry, Revenue, Employees as fields you can sort and compare, not a wall of text to re-read.

Data a page links rather than renders is covered too: webdetectdownloads finds the CSV/TSV/XLS/XLSX/PDF/JSON attached to it, webparsefile parses them, and webfetchjson takes an API endpoint directly.

Verify that a source actually supports a claim

The part a plain search tool does not do. evidenceentailment compares a claim to the source text and returns a verdict; corroborateclaim triangulates across excerpts, and locateclaimspan returns the supporting sentence with character offsets.

Given the claim "Norway's battery-electric share of new passenger cars was 82.4% in 2023" and a source reading "In 2023, battery-electric vehicles accounted for 82.4% of all new passenger cars registered in Norway", the verdict comes back as a value your agent can act on rather than a paragraph it has to interpret:

{"status": "supported", "score": 0.778, "reason": "token overlap heuristic", "backend": "heuristic"}

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

footnote-mcp: common questions

Is footnote-mcp server safe?
Yes, by our scan: it is graded A (88/100). Read the footnote-mcp safety report
How do I install footnote-mcp?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does footnote-mcp need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is footnote-mcp maintained?
The last commit was 59 days ago (2026-09-07). The latest release is v0.2.6.
What can I use instead of footnote-mcp?
Servers from other publishers that do the same job: One Search MCP server, Anakin MCP server and SeleniumBase MCP server. Compare all footnote-mcp alternatives.
How does footnote-mcp compare with other Scraping and browsing MCP servers?
safety score 88/100 (higher than 70% of 867 Scraping and browsing servers); tools 45 (the typical Scraping and browsing server has 6); tools that change things 7% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.

Alternatives to footnote-mcp

Same job from other publishers: the closest match first, then the best rated.

All footnote-mcp alternatives →
  • One Search
    Web search, URL discovery, scraping & extraction with agent-browser and search providers
    B
  • Anakin
    Web data for AI agents: scrape, crawl, search, deep research, site monitoring, browser automation
    B
  • SeleniumBase MCP
    Stealthy browser automation, testing, and web-scraping via CDP Mode.
    A
  • AIHawk
    AI browser agent: browses, clicks, types, and reads real web pages from plain-English instructions.
    A
  • Browser Use
    Browser agents and stealth cloud browsers for AI: run web tasks, fill forms, extract data.
    A

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