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Sharebench

R0· no sign-in

Sharebench — search & pull AI skills, agents, prompts & playbooks (SKILL.md) into any MCP client

v0.1.1 · active · website · descriptor JSON · versions

An agent can connect right now, no human step.Remote endpoint, no authentication, reachable on the last probe.
Quality76good
Trust75of 100
Uptime, 30 days95%
Latency p50663 ms

Connect

8 clients · secrets stay placeholders
{
  "mcpServers": {
    "sharebench": {
      "type": "http",
      "url": "https://mcp-public.sharebench.ai"
    }
  }
}
claude mcp add --transport http sharebench https://mcp-public.sharebench.ai
[mcp_servers.sharebench]
url = "https://mcp-public.sharebench.ai"
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "sharebench": {
      "type": "remote",
      "url": "https://mcp-public.sharebench.ai",
      "enabled": true
    }
  }
}
{
  "mcpServers": {
    "sharebench": {
      "type": "http",
      "url": "https://mcp-public.sharebench.ai"
    }
  },
  "deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=sharebench&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vbWNwLXB1YmxpYy5zaGFyZWJlbmNoLmFpIn0%3D"
}
{
  "servers": {
    "sharebench": {
      "type": "http",
      "url": "https://mcp-public.sharebench.ai"
    }
  }
}
{
  "mcpServers": {
    "sharebench": {
      "httpUrl": "https://mcp-public.sharebench.ai"
    }
  }
}
extensions:
  "sharebench":
    enabled: true
    name: "sharebench"
    type: streamable_http
    uri: "https://mcp-public.sharebench.ai"
    timeout: 300

Quality 76 / 100good

protocol75 · weight 25
  • warn
    protocol.modernnewest supported version is 2025-11-25; 2026-07-28 not supported, older versions are deprecated until 2027-07-28
  • n/a
    protocol.statelessonly applies to 2026-07-28 servers
  • pass
    protocol.transportstreamable HTTP
  • n/a
    protocol.list_ttlonly applies to 2026-07-28 servers
authorizationn/a · weight 15
  • n/a
    auth.prm, auth.as_metadata, auth.cimdno remote uses OAuth
  • n/a
    auth.secret_in_urlno templated URL
tool hygiene64 · weight 30
  • pass
    tools.descriptionsevery tool has a description
  • warn
    tools.description_length2 tools have descriptions over 1,024 characters, which crowds the context
  • pass
    tools.schemasevery tool has an object input schema
  • fail
    tools.annotationsno tool declares readOnlyHint or destructiveHint, so clients cannot tell safe calls from risky ones
  • fail
    tools.directory_hintsno tool declares all four of readOnlyHint, destructiveHint, idempotentHint and openWorldHint; missing: get_by_id (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); search (readOnlyHint, destructiveHint, idempotentHint, openWorldHint)
  • pass
    tools.token_costabout 903 tokens to load every tool
  • pass
    tools.api_dumptools are not a one-to-one API dump
stability100 · weight 15
  • pass
    stability.changesno tool changes in 30 days
  • pass
    stability.rug_pullno tool changed its meaning under the same name
dependenciesn/a · weight 15
  • n/a
    deps.known_vulns, deps.mcp_sdk_version, deps.resolvableno npm or PyPI package

2 tools, about 903 tokens to load them all · tool set 13a8ded591dd · checked 2026-10-20 08:58 UTC

Tool changes

No tool definition changes recorded. A server's first observation is its baseline; later probes record what changes.

Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.

Trust 75 / 100

no-repository
provenance55
liveness98
freshness65
hygiene80

+dns-namespace +website +reachable +uptime-95% ~updated-118d-ago -no-repository

Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.

Endpoints

remoteauthreachableuptime 30dp50protocollast ok
https://mcp-public.sharebench.ai streamable-httpnoneyes95%663 ms2025-11-252026-10-20

Tools (2)

get_by_idFetch the full SKILL.md content and metadata for a single artifact. Provide EXACTLY ONE of `artifactId` (the UUID returned by `search`) or `slug` (the URL-safe identifier, e.g. from a `/p/<slug>` link). Passing both or neither returns a `validation_failed` error. Use this after `search` to retrieve the body of a hit the user wants to read, summarize, apply, or fork. Returns the artifact's name, description, type, contributor, version, timestamps, the full SKILL.md text (YAML frontmatter + markdown body, up to 256 KB), the number of bundled extras (`bundledCount`), their filenames (`bundledFilenames`), per-file metadata in `bundledFiles` (each entry has `key`, `filename`, and `originalRef` — the EXACT body-relative reference string the importer matched, or `null` when the file was bundled without a body reference; use this to translate a link span in the body back to its bundle filename), and the public-surface fields `slug`, `authorCredit`, `industries`. To fetch a bundled extra, read it as a resource at `artifact://<artifactId>/bundled/<filename>`.
searchSearch this workspace's published artifacts (skills, agents, workflows, and knowledge documents in SKILL.md format). Returns ranked metadata — name, description, type, contributor, timestamps, bundledCount, slug, authorCredit, and industries — but NOT the full body. To read an artifact's content, call `get_by_id` with the returned `artifactId` (or `slug`), or read it as a resource at `artifact://<artifactId>`. Use this whenever the user wants to find, discover, browse, or filter existing artifacts before reading or contributing. Modes: `hybrid` (default; combines lexical and semantic ranking via reciprocal rank fusion — best for most queries), `bm25` (exact-keyword or name lookups), `semantic` (concept matching when the user's terms differ from artifact text). Pass `industries: ['marketing', 'legal']` to narrow results to artifacts tagged with ANY of those industries (keyword-array overlap). If hybrid silently degrades because the embedding service is unavailable, the response's `warnings` array will contain `embedding_degraded:hybrid-fell-back-to-bm25` — surface this to the user if precision matters.

Schemas: list_tools.

Similar MCP servers

Official server.json
{
  "name": "ai.sharebench/registry",
  "title": "Sharebench",
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "remotes": [
    {
      "url": "https://mcp-public.sharebench.ai",
      "type": "streamable-http"
    }
  ],
  "version": "0.1.1",
  "websiteUrl": "https://sharebench.ai",
  "description": "Sharebench — search & pull AI skills, agents, prompts & playbooks (SKILL.md) into any MCP client"
}