MCP.Market

Fallback MCP server

online · 100% uptime
by baronsigma·io.github.baronsigma/fallback-agent-tools·v0.1.0-beta.1

Tiny paid recovery and decision utilities for autonomous agents.

A91/100grade A
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Safety scan
A91/100

full report

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Fallback tools (4)

write = sends, deletes, buys or posts
  • error_routeFree

    Diagnose a failed API, HTTP, MCP, or tool request and return a bounded safe next action. Use it after a request fails when the safe next step is unclear. Provide a status, response, or error text; it does not execute requests or verify undocumented fixes. Price: $0.002 USD per call via x402.

  • request_repairFree

    Repair a failed API or HTTP request using only supplied schema and error evidence. Use after error_route identifies a request-shape or input problem. Returns the smallest justified request changes and abstains when evidence is insufficient. Price: $0.005 USD per call via x402.

  • source_routeFree

    Find likely authoritative or machine-readable sources when you know what information you need but not where to retrieve it. Provide a goal and optional publisher domain or start URL; it returns ranked candidate routes and bounded evidence. Use it before blind searching. Do not use it when you already have the correct source or only need reasoning over supplied context. Price: $0.02 USD per call via x402.

  • stop_searchFree

    Decide whether another search or paid retrieval is worth the cost based on the scope already checked. Use after several search or source checks when you need to decide whether to continue or return a scoped not-found result. It does not prove universal absence and performs no searches itself. Price: $0.003 USD per call via x402.

Public scan report

scanner v0.1.10 · 2026-10-14 · same rubric, same numbers if you re-run it

no findings
  • –Code scanremote-only server, no package to scann/a
  • Live reliabilityremote reachable in 1341ms20/20
  • Tool poisoning4 tool descriptions checked15/15
  • Auth qualityopen endpoint, read-only tools10/15
  • Maintenancelast push 7 days ago15/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
Overall 91/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Fallback compares

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

Safety score
91/100
higher than 88% of 4,460 AI and agents servers
Tools
4
the typical AI and agents server has 6
Tools that change things
0%
typical: 0%. Fewer write tools means less an agent can break
Uptime
100%
of our recent checks; the typical remote AI and agents server answers 100%
Response time
345 ms
faster than 41% of 2,331 AI and agents servers

What its tools let an agent do: 3 read · 1 run or deploy

Install Fallback in Claude Code, Cursor or VS Code

claude mcp add --transport http fallback-agent-tools https://fallback.factrail.online/mcp
Add to Cursor

What the publisher says

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

Fallback

______      _ _
 |  ____|    | | |
 | |__  __ _ | | |__   __ _  ___| | __
 |  __|/ _` || | '_ \ / _` |/ __| |/ /
 | |  | (_| || | |_) | (_| | (__|   <
 |_|   \__,_||_|_.__/ \__,_|\___|_|\_\

       find the route forward

Fallback

Tiny paid recovery and decision utilities for autonomous agents.

When an agent gets stuck, Fallback helps it find the next safe move without wasting a large reasoning loop.

sourceroute Where should I look? ($0.02)\ errorroute Why did this fail? ($0.002)\ requestrepair Can I safely fix the request? ($0.005)\ stopsearch Is another search worth it? ($0.003)

Use Fallback

Pay-per-call tools that help AI agents find sources, diagnose failures, repair requests, and decide when to stop searching. Fallback gives autonomous agents small, deterministic utilities for the moments where automation gets stuck: finding the right source, diagnosing a failed request, repairing a request from available evidence, and deciding whether another search or paid retrieval is worth the cost.

Hosted service

MCP endpoint: https://fallback.factrail.online/mcp\ HTTP API base: https://fallback.factrail.online\ Payment: x402 V2 pay-per-call. Check each live challenge for network, asset, amount, and recipient.\ Agent skill: skill.md\ OpenAPI: openapi.json\ Network: Base mainnet, canonical USDC\ Release: v0.1.0-beta.1

Tools

  • sourceroute ($0.02): Where should I look?** Find likely authoritative or machine-readable sources.
  • errorroute ($0.002): Why did my call fail?** Classify a failed request and recommend a bounded next action.
  • requestrepair ($0.005): Can I safely fix the request?** Propose the smallest change supported by caller-supplied evidence.
  • stopsearch ($0.003): Is further searching worth it?** Decide whether more bounded search effort is justified by the evidence and remaining cost.

These tools do not replace agent reasoning, and stop_search never proves universal absence.

When an agent should use this

Use sourceroute when an agent knows what it needs and which publisher (a domain or start URL), but not how** to get it in machine-readable form: an API, OpenAPI spec, bulk download, dataset or feed.

  • Good fit: "Get the latest population dataset from Eurostat", "Find a JSON/CSV route for this agency's statistics", before the agent starts browsing page by page.
  • Not a fit: general web research, answering a factual question, or verifying a fact (for source-backed facts, see FACTRAIL MCP).

How to read the result:

  • status: routesfound: try routes in order. score is a deterministic ranking, not** a probability or confidence.
  • status: nosuitableroutefound: nothing suitable within the checked scope (see checked.directprobes). This is not evidence that no route exists. The agent should look elsewhere (another host, the publisher's open-data portal), not conclude "there is no API".
  • Always read limitations. It says, for example, whether external search was unavailable or candidate inspection was capped.

Limits per call: at most 8 direct HTTP requests, 12 s total, 1 MiB per response, and at most 1 external search request. No LLM inference. The hosted beta currently runs deterministic discovery only (no search provider configured).

Access: hosted MCP https://fallback.factrail.online/mcp (Streamable HTTP) or the HTTP tool routes, x402 pay-per-call (each challenge declares its payment network and amount; no account or API key). To try it without payment, self-host with PAYMENT_MODE=disabled (see Local development). Machine-readable summary: llms.txt. More detail: Using Fallback with agents.

Shortened. The full README is on GitHub.

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

Fallback: common questions

Is Fallback MCP server safe?
Yes, by our scan: it is graded A (91/100). Read the Fallback safety report
How do I install Fallback?
It runs remotely at fallback.factrail.online. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.
Does Fallback need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is Fallback maintained?
The last commit was 29 days ago (2026-10-06). The latest release is v0.1.0-beta.1.
Is Fallback up?
100% of our last 28 checks got an answer. We check remote servers about four times a day.
What can I use instead of Fallback?
Servers from other publishers that do the same job: CHAP Coordinator MCP server, three.ws 3D Agent Tools MCP server and Strategic Agent Reasoning MCP server.
How does Fallback compare with other AI and agents MCP servers?
safety score 91/100 (higher than 88% of 4,460 AI and agents servers); tools 4 (the typical AI and agents server has 6); tools that change things 0% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.

Alternatives to Fallback

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

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    A
  • three.ws 3D Agent Tools
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  • Strategic Agent Reasoning MCP
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    A
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