tokens&
For enterprises
Submit a resource
Sign in
tokens&

Find tools, check provider offers, save a build plan, and share your work when you’re ready.

For buildersFor enterprises

For builders

  • Startup credits and perks
  • Agent Skills
  • Publish a project

For enterprises

  • Start free company workspace
  • Submit a tool, product, or perk

Community

  • Community
  • Newsletter
  • Events
Xin

© 2026 tokensand, LLC. All rights reserved.

  • Terms
  • Privacy
  • Security
  • Data Processing
  • Status
  1. Home
  2. Tools
  3. AI Agents
  4. mcp-use
mcp-use logo

mcp-use

AI Agents

Verified Publisher·Pending reviewVerified Adoption·Pending reviewEnterprise Ready·Pending review

Open-source full-stack framework for building MCP servers, clients, apps, and agent workflows with hosted deployment and debugging paths for production teams.

Public links
Visit WebsiteDocumentation

Developers also use

Generated from similarity, co-save, category, project, and adoption signals.

FastMCP logo
FastMCP

AI Agents· gofastmcp.com

Open source

Framework for building MCP servers, clients, and apps with Python-first abstractions, testing utilities, deployment workflows, and interactive UIs for production MCP integrations.

Why recommended

Highly similar description

Keep evaluating mcp-use

Comparisons, category adoption data, and shortlist guides that answer the questions this profile raises next.

Weigh mcp-use against the alternatives

  • mcp-use alternativesEvery ai agents product developers evaluate in place of mcp-use.
  • mcp-use vs FastMCPSide-by-side pricing, API surface, and adoption evidence.
  • mcp-use vs ArcadeSide-by-side pricing, API surface, and adoption evidence.
  • mcp-use vs GitHub MCP ServerSide-by-side pricing, API surface, and adoption evidence.

Enterprise fit

Buyer brief for procurement and architecture review

Source-labeled signals for cost, reliability, security, integration, and adoption proof. Missing compliance evidence is shown as a gap, not guessed.

Compare for enterpriseExport brief
Inferred

Commercial model

Freemium profile signal; exact enterprise terms need buyer review.

View source
Needs verification

Reliability

No status page, uptime, or SLA evidence attached

Needs verification

Security/compliance

No security, trust, or compliance source attached

Source linked

Integration fit

Documentation source linked

View source
Needs verification

Adoption proof

No public adoption proof attached

Buyer recommendation

Shortlist only after verifying Reliability and Security/compliance.

Docs are linked for implementation review.Open-source path can reduce lock-in review.At least one buyer evidence source is linked or verified.

Vendor value loop

Vendors receive anonymous aggregate evaluation demand by default. Account details are shared only after explicit buyer contact or consent.

Request vendor contact

Real data backfill while adoption proof grows

These are source-linked enrichment paths for missing fields. They are treated as proxies until claimed-company data and first-party tokens& adoption events replace them.

GitHub repository APIfreeStars, forks, license, topics, releases, default branch, repo freshness, and public contributor signal.OpenSSF ScorecardfreeOpen-source security posture checks for repos before enterprise review.npm downloads APIfreePublic JavaScript package download trends for SDK/tool adoption proxies.PyPI StatsfreePublic Python package download trends for SDK/tool adoption proxies.Product Hunt APIfreemiumLaunch timing, maker activity, and early-adopter demand signals when products launch publicly.

Events / Tours

mcp-use developer events

Hackathons, workshops, office hours, launches, and partner challenges tied to this product.

Claim or partner

No public events yet

Claimed teams can add hackathons, webinars, office hours, and challenges, then measure attendee to usage ROI.

AgentRank trust profile

Public proof buyers and agents can trust

Claim this tool to see who is evaluating it

AgentRank

51

Public signals · ★ 10,661

Trust Score

48

observed

Category Rank

#17

AI Agents · public signals

Protocols

SDK, MCP

Agent-readable metadata

Tracked Developers

0

Known active developer activity

Profile Status

Unclaimed

Owner action needed

Trust Registry

AgentRank evidence file
observed

Source breakdown

GitHub10,661

68% confidence

Protocol support

SDKMCP
Adoption over time
Last 8 weeks+172 GitHub stars in 30d · cohort private · trust 48

Timeline appears after verified events.

We do not draw a fake adoption chart before live usage, self-reported proof, or challenge activity exists for this product.

Private (N<7)

active developers

Private (N<7)

verified adoptions

Private (N<7)

retention

Your developer adoption profile is already visible.

Claim it to verify data, add integrations, and unlock adoption intelligence on developers and accounts evaluating mcp-use.

Claim your tool

Developer identities

See the builders behind saves, docs clicks, API calls, and retained usage.

Talk to sales

Account map

Developer identities, account mapping, retention cohorts, and competitor overlap are available on Growth and Enterprise plans.

About mcp-use

Open-source full-stack framework for building MCP servers, clients, apps, and agent workflows with hosted deployment and debugging paths for production teams.

Resources
Official siteLink

Official product website.

DocumentationDocs

Official documentation.

GitHubGitHub

Source repository and release activity.

GitHub
3 Resources
GitHub Stats

10,661

Stars

1,466

Forks

77

Issues

Quick Info
PricingFreemium
Open sourceYes
API availableNo
27,764
2,364
Open source
Why recommended

Highly similar description

Arcade logo
Arcade

AI Agents· arcade.dev

Freemium

Tool-calling and MCP platform for production agents, with prebuilt tools and an open MCP server framework.

Why recommended

Highly similar description

1,030
113
Open source
Why recommended

Highly similar description

GitHub MCP Server logo
GitHub MCP Server

AI Agents· docs.github.com

Open source

Official GitHub MCP server that lets AI agents read repositories, manage issues and pull requests, and automate GitHub workflows.

Why recommended

Highly similar description

33,071
5,005
Open source
Why recommended

Highly similar description

Playwright MCP logo
Playwright MCP

AI Agents· github.com

Open source

Official Microsoft MCP server that gives AI agents structured browser automation through Playwright.

Why recommended

Highly similar description

37,411
3,178
Open source
Why recommended

Highly similar description

  • mcp-use vs Playwright MCPSide-by-side pricing, API surface, and adoption evidence.

    • Check the adoption evidence

    • AI Agents developers actually keep usingFiltered to products with verified usage events, cohort breadth, and retention.
    • AgentRank category rankingsHow every category is ordered by adoption proof, trust, and protocol support.
    • Best AI Agent FrameworksShortlist guide for this category, with the tradeoffs written out.
    • Best Open Source AI ToolsShortlist guide for this category, with the tradeoffs written out.

    Own mcp-use? Generate its adoption badge embed, or claim the profile to send verified usage events.

    Agent-readable protocol evidence raises trust and commercial readiness.

    Benchmark proof

    Benchmark proof pending

    Attach latency, cost, accuracy, reliability, or eval evidence to unlock the performance component.

    Trust gaps

    Verify publisher ownership
    Send SDK/API telemetry
    Attach benchmark evidence

    Enterprise verification can enrich evidence and export proof packages, but cannot buy rank.

    Claim this tool to see who is evaluating it
    Next best action

    Claim mcp-use before competitors use this profile as proof.

    Connect usage events, resolve developer identities, and see which accounts are evaluating mcp-use.

    Claim this tool to see who is evaluating it

    Resolve developer activity into companies, teams, and enterprise accounts.

    Talk to sales

    Retention cohorts

    Track first API call through 7/30/90-day retention and expansion.

    Talk to sales

    Competitor overlap

    Find developers evaluating alternatives and switching between tools.

    Talk to sales

    Category benchmark

    Compare activation, retention, and growth against your market.

    Talk to sales

    Recommended actions

    Prioritized DevRel, product, and sales plays based on live adoption signals.

    Talk to sales