Explore / Agent-Reach
MCP ServerRisk reviewedmedium risk

Agent-Reach

Agent-Reach is an MCP server for coding, research and browser workflows on self-hosted. Verified from source metadata and risk-reviewed by AgentMaps.

Repository
Preview · 94

Preview: the curated catalog plus the latest auto-checked entries. 47 newly auto-checked

60/100
Recommended
Confidence: medium
65/100
Benchmark
Confidence: medium
Needs human reviewRisk reviewed · Verification tier is risk-reviewed; this reflects automated evidence, not a full install or execution test.
Why
Recommendation 60/100, fits Coding, setup is easy.
Best for
Coding workflows that need reusable tool or agent integration.
Not for
Production use without reviewing the upstream documentation and permission scope.
Boundary
Checked up to "Risk reviewed"; deeper install and interface testing isn't covered yet — confirm in your own environment.
Remaining risk
Risk is medium because this tool may rely on network access, credentials, browser automation, write actions, shell execution, or external services.
Next step
Review tokens, write access, and network scope in a sandbox before team adoption.
Check before you adopt
This capability uses higher-risk permissions (tokens, write access, shell, and the like). Try it in an isolated environment and confirm what it actually does before using it for real work.

What it is good for

Agent-Reach is an MCP server for coding, research and browser workflows on self-hosted. Verified from source metadata and risk-reviewed by AgentMaps. This profile is auto-verified by the AgentMaps daily pipeline and passed publish review before being listed.

Use cases

  • - Coding workflows that need reusable tool or agent integration.
  • - Research workflows that need retrieval, summarization, or structured source gathering.
  • - Browser automation or web research workflows where external site access is expected.
  • - Users who already run an MCP-compatible client such as Claude Code, Codex, Cursor, Cline, or a self-hosted agent.

Best for

  • - Coding workflows that need reusable tool or agent integration.
  • - Research workflows that need retrieval, summarization, or structured source gathering.
  • - Browser automation or web research workflows where external site access is expected.
  • - Users who already run an MCP-compatible client such as Claude Code, Codex, Cursor, Cline, or a self-hosted agent.

Not for

  • - Production use without reviewing the upstream documentation and permission scope.
  • - Users who require full install, execution, and interface verification before trying a tool.

Limitations

  • - Production use without reviewing the upstream documentation and permission scope.
  • - Users who require full install, execution, and interface verification before trying a tool.
How it runsTool/runtime connector

How to use it & what to watch

AI may help filter, explain, and draft a trial plan, but must not perform write, shell, external side effects, or production publishing before review.

What you'll see

  • Start from your task and the platform you use
  • Review its setup, source, and permission scope
  • Try it first in an isolated or low-permission environment
  • For high-risk actions, wait for a review before continuing

Where you can step in

  • Adjust task/platform filters
  • Add to compare
  • Open the source to check
  • Stop a high-risk adoption
  • Add what you've learned

Actions needing approval

  • Approval before writes or state mutation
  • Sandbox approval before shell execution
  • External network target approval

If something goes wrong

  • On trial failure, fall back to source docs, alternatives, or submit what you found for review.

How to judge a trial

  • Can you find a task-fit candidate within two minutes
  • Can it explain why it's recommended and where it doesn't fit
  • Can you see the token, write, shell, network, or local-file risks
  • Can you tell 'checked the docs' apart from 'actually verified in a run'
  • If a trial fails, is there a fallback or a way to take over manually

Verification evidence

Below is the result of each check — passed, partial, skipped, or not yet tested. It shows how far checking has gone, not that the capability is cleared for production use.

Info checked

Source, docs, license, or package metadata exists.

passed
Risk reviewed

Static review assigns permission and risk boundaries.

passed
Install-verified

Install path can be checked, but not necessarily in your environment.

skipped
Interface-verified

Interface or entrypoint parsed; not a production safety approval.

skipped
  • Verification tier is risk-reviewed; this reflects automated evidence, not a full install or execution test.
  • Static audit status is passed; the source code was reviewed for risk signals but not cloned, installed, or executed.
  • Benchmark score is 65 and recommendation score is 60, based on automated evaluation.
  • Trust metadata came from read-only GitHub live metadata enrichment.

Evaluation summary

Detailed check
TrialTrigger evalMisfire risk: High

Best for

  • - Coding tasks with explicit source and risk review
  • - Research tasks with explicit source and risk review
  • - Browser tasks with explicit source and risk review

Avoid when

  • - You need unattended publish, production write access, or bypassed manual review.

Risk findings

  • - Automated Discovery
  • - Unverified Source
  • - Browser automation can touch authenticated or sensitive sessions.

Verified evidence

  • - L2 static benchmark status: passed

Safety findings

  • mediumbrowser

    Browser automation can touch authenticated or sensitive sessions.

    Recommendation: Restrict to explicit local verification targets unless the user approves authenticated browsing.

Quality findings

  • mediumboundary

    Permission and operating boundaries are not explicit.

    Recommendation: Add boundary notes for read/write, network, shell, browser, token, and data exposure.

Known conflicts

  • - May overlap with generic agent, workflow, or automation templates.

Evidence references

  • Canonical source URL

    Used only as source evidence; no source code was executed.

  • Normalized source artifact

    Provides object type, platform fit, risk guess, risk flags, and publish blockers.

  • Static trigger prompt generation

    Positive, negative, and ambiguous prompts generated from metadata; not a runtime model benchmark.

  • L2 benchmark run

    Benchmark status: passed.

Score breakdown

Safety & permissions64
How well it works70
Actively maintained79
Setup & integration58
Interface quality60
Follows standards76
Task fit60
Works across platforms14

Why it scores well

  • - Coding workflows that need reusable tool or agent integration.
  • - Research workflows that need retrieval, summarization, or structured source gathering.
  • - Browser automation or web research workflows where external site access is expected.
  • - Users who already run an MCP-compatible client such as Claude Code, Codex, Cursor, Cline, or a self-hosted agent.

Watch outs

  • - Production use without reviewing the upstream documentation and permission scope.
  • - Users who require full install, execution, and interface verification before trying a tool.

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