Failshare

io.github.CloudCorpRecords由 GitHub 账号 CloudCorpRecords 发布v0.1.0更新于 Nov 7, 2026

Shared failure knowledge for agents: check known tool failures, report failures and outcomes.

已验证STDIO仅桌面知识与记忆开发者工具

概览

AI 生成的概览

连接 FailEcho 共享故障知识库的本地桥接服务,让助手查询已知的工具故障,并上报失败、成功与恢复结果。

可以做什么
  • 查询其他代理对某个工具、API 或 MCP 调用故障的已知情况:状态、计数、各恢复动作的成功率及一条建议
  • 上报失败的调用,包含服务、操作及可选的错误元数据,便于他人识别
  • 上报成功的调用,为失败率提供分母
  • 按指纹上报恢复动作(重试、等待、刷新 schema、重连、改用备用方案、重新认证)是否奏效
  • 每个工具也可作为命令行子命令,接收一个 JSON 参数字符串
适用场景
适合助手使用容易间歇性失败的第三方工具或 API 时,在盲目重试前参考共享经验,并把自身结果回馈给该网络。
运行要求
通过 npx 或 Docker 镜像以 stdio 在本地运行,无需账号或密钥。需要能访问上游端点(默认 FAILECHO_MCP_URL 覆盖)。可选的 FAILECHO_REPORTER_ID 会以 X-Reporter-Id 请求头发往上游。
安装前请注意
上报内容会进入第三方共享网络,只应发送故障元数据,切勿包含提示词、工具参数、结果、请求头、Cookie、API 密钥、令牌或邮箱。设置 FAILECHO_REPORTER_ID 会让每个上游请求都携带一个固定标识。该桥接本身不保存数据,调用会原样转发上游。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Failshare,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。

其他 MCP 客户端

参照 仓库 中的启动说明。

README

failshare

failshare is a small local bridge to FailEcho's hosted MCP server, a shared failure-knowledge base for agents. When a tool, API or MCP call fails, agents check what the network already knows about that exact failure before retrying blindly, and they report their own failures, successes and recovery outcomes so the next agent gets a better answer.

The bridge keeps no failure data and computes nothing of its own. It serves the upstream server's tool list locally, exactly as captured from the live endpoint, and forwards each tool call upstream, returning the result untouched.

Tools

  • check_tool_failure - ask what the network knows about a failure before retrying. Returns a status (HEALTHY / DEGRADED / MAJOR / INSUFFICIENT_DATA), counts, the recovery actions that worked with their success rates, and one recommendation. Required: service (the server's own name or API host) and operation (the tool or endpoint as the server names it). Optional context: error_type, error_message, error_code, version, schema_hash, reporter_id, and verbose for the full record instead of the compact answer.
  • report_tool_failure - report a failed call so others can recognise it. Required: service, operation. Optional: error_type, error_message, error_code, version, schema_hash, latency_ms and reporter_id. Send failure metadata only - never prompts, arguments, results, headers or keys; error text is normalised server-side.
  • report_tool_success - report that a call succeeded. Failure rates need the denominator: a network that only hears failures cannot tell broken from busy. Required: service, operation. Optional: version, schema_hash, latency_ms, reporter_id.
  • report_recovery_outcome - after acting on a failure (retry, wait, refresh_schema, reconnect, use_fallback, reauthenticate), report whether it worked; every recommendation is built from these. Required: fingerprint (from check_tool_failure or report_tool_failure), action, and successful. Optional: reporter_id.

Configuration

  • FAILECHO_MCP_URL (optional) - override the upstream endpoint. Defaults to https://failecho.com/mcp. (The override hook is this rebuild's own labelled reconstruction.)
  • FAILECHO_REPORTER_ID (optional) - when set, every upstream request carries an X-Reporter-Id: <value> header carrying the value. When it is not set, no such header is sent. (This forwarding is also a labelled reconstruction; the original surface was captured keyless.)

Forwarding mechanics

On the first tool call the client opens a streamable HTTP session with the upstream: a JSON-RPC initialize request (protocolVersion 2025-03-26, clientInfo name failshare), then a notifications/initialized notification, then the tools/call request carrying the caller's arguments unchanged. When the upstream answers initialize with an Mcp-Session-Id header, that value rides on every later request of the session, which is reused for the life of the process. Replies may arrive as plain JSON or as server-sent events; both are read.

Successful upstream results pass through verbatim, including any isError flag the upstream sets. Failures - a JSON-RPC error, a non-2xx status, an unreadable response, or a request that cannot be completed - come back as an isError result whose text starts with failshare error: (this rendering is this rebuild's own labelled reconstruction).

CLI

Each tool is also a subcommand taking one JSON argument string:

bash
npx @reneturcios/failshare check_tool_failure '{"service":"api.github.com","operation":"create_issue","error_type":"timeout"}'npx @reneturcios/failshare report_tool_failure '{"service":"api.github.com","operation":"create_issue","error_type":"validation_error"}'npx @reneturcios/failshare report_tool_success '{"service":"api.github.com","operation":"create_issue","latency_ms":42}'npx @reneturcios/failshare report_recovery_outcome '{"fingerprint":"0123456789abcdef0123456789abcdef","action":"refresh_schema","successful":true}'npx @reneturcios/failshare --version

Exit codes: 0 on success, 1 on an isError result, 2 on a usage error.

MCP server

bash
npx -y @reneturcios/failshare mcp

MCP client config:

json
{  "mcpServers": {    "failshare": {      "command": "npx",      "args": ["-y", "@reneturcios/failshare", "mcp"]    }  }}

Docker

bash
docker run -i ghcr.io/cloudcorprecords/failsharedocker run --rm ghcr.io/cloudcorprecords/failshare --version

The container's default command is mcp, so the first form is a stdio MCP server; any other arguments reach the CLI normally.

Development

bash
npm installnpm run buildnpm testnpm run dev

The test suite runs entirely against a stubbed JSON-RPC upstream - no live network calls.

License

MIT - see LICENSE.

来源:README.md,提交 dcbfa3a

工具

4

check_tool_failure

Check what the network knows about a tool failure

Use FailEcho when another tool fails, before retrying blindly. Call this BEFORE retrying a failed tool, API or MCP call. Returns what other agents saw for this exact failure -- status (HEALTHY/DEGRADED/MAJOR/INSUFFICIENT_DATA), counts, the recovery actions that worked with success rates, and one `recommendation` (or `skip` when nothing tried recently has worked; null when evidence is thin -- a real answer). Works on your own history before anyone else joins. Free, anonymous, stores nothing, never rate limited.

输入参数service必填verboseversionoperation必填error_codeerror_typereporter_idschema_hasherror_message

report_tool_failure

Report a failed tool call to the network

Report a failed tool/API/MCP call so others can recognise it; call after a failure, alongside check_tool_failure. PRIVACY: this is a shared network. Send failure metadata only -- never prompts, tool arguments, tool results, request or response bodies, headers, cookies, API keys, tokens, emails or user content. Error text is normalized server-side and the raw string discarded. A stable reporter_id (hashed, never stored raw) makes you one reporter instead of anonymous noise. Writes are rate limited per client.

输入参数service必填versionoperation必填error_codeerror_typelatency_msreporter_idschema_hasherror_message

report_tool_success

Report a successful tool call to the network

Report that a call SUCCEEDED. Failure rates are failures over all calls; a network that only hears failures cannot tell broken from busy. No error data -- service, operation, version, latency.

输入参数service必填versionoperation必填latency_msreporter_idschema_hash

report_recovery_outcome

Report whether a recovery action worked

After acting on a failure -- retry, wait, refresh_schema, reconnect, use_fallback, reauthenticate -- report whether it worked. Every recommendation others get is built from these. Pass the fingerprint from check_tool_failure or report_tool_failure; one outcome per attempt.

输入参数action必填successful必填fingerprint必填reporter_id

版本历史

1
  1. v0.1.0最新Nov 4, 2026

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