mcp-registry/ai.sharebench/registry · v0.1.1
As of 2026-10-26 17:27 UTC, the Sharebench Registry MCP server is up with a Glimind reliability score of 89/100 (grade B). Over the last 30 days it answered 99.9% of Glimind's liveness checks. It had 29 outages in 90 days, with a median recovery of 3 minutes.
Sharebench — search & pull AI skills, agents, prompts & playbooks (SKILL.md) into any MCP client
Point your MCP client at this streamable-http endpoint: https://mcp-public.sharebench.ai
2 of 2 tool(s) carry no readOnlyHint/destructiveHint annotations.
Annotate read-only tools with {"readOnlyHint": true}. Agents and gateways can then run them without a confirmation prompt, and route around destructive ones. How to fix →
No tool declares an outputSchema.
Declare outputSchema and return structuredContent (MCP 2025-06-18+). Agents can then parse results without guessing, and chain tools reliably. How to fix →
Paste-ready definitions with the problems above fixed. Changes marked verify need a human look. All of them as JSON: /v1/readiness/mcp-registry%2Fai.sharebench%2Fregistry/fixes
{
"name": "get_by_id",
"description": "Fetch 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 + markdo",
"inputSchema": {
"type": "object",
"properties": {
"slug": {
"type": "string",
"pattern": "^[a-z0-9](?:[a-z0-9-]*[a-z0-9])?$",
"maxLength": 80,
"minLength": 1,
"description": "URL slug for the artifact (e.g. `brand-voice`). Take this from the `slug` field of a `search` result or a /p/<slug> link. Mutually exclusive with `artifactId`."
},
"artifactId": {
"type": "string",
"format": "uuid",
"description": "UUID of the artifact. Take this from the `artifactId` field of a `search` result. Mutually exclusive with `slug`."
}
},
"additionalProperties": false
},
"annotations": {
"readOnlyHint": true
}
}{
"name": "search",
"description": "Search 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 artifac",
"inputSchema": {
"type": "object",
"required": [
"query"
],
"properties": {
"mode": {
"enum": [
"hybrid",
"bm25",
"semantic"
],
"type": "string",
"description": "Ranking strategy. Default: hybrid."
},
"type": {
"enum": [
"skill",
"agent",
"workflow",
"knowledge"
],
"type": "string",
"description": "Filter by artifact category. Omit for all types."
},
"limit": {
"type": "integer",
"maximum": 50,
"minimum": 1,
"description": "Maximum hits to return. Default: 20."
},
"query": {
"type": "string",
"maxLength": 200,
"minLength": 1,
"description": "Free-text query. Names, phrases, or natural-language concepts."
},
"offset": {
"type": "integer",
"minimum": 0,
"description": "Pagination offset for navigating result sets."
},
"industries": {
"type": "array",
"items": {
"type": "string",
"maxLength": 80,
"minLength": 1
},
"maxItems": 5,
"description": "Filter to artifacts tagged with ANY of these industry slugs (keyword-array overlap). Up to 5 values."
}
},
"additionalProperties": false
},
"annotations": {
"readOnlyHint": true
}
}Get an email or webhook when this server's readiness drops by 10+ points, tool-poisoning text appears, or a tool breaks:
curl -X POST https://glimind.com/v1/subscriptions -H 'content-type: application/json' -d '{"tools":["mcp-registry/ai.sharebench/registry"],"email":"[email protected]"}'Agents: watch_tool({"toolId": "mcp-registry/ai.sharebench/registry"}) over MCP.
search ~400 tokensget_by_id ~297 tokensStatic checks of the advertised tools/list (schema, descriptions, annotations, tool-poisoning patterns, names, size) plus observed protocol, uptime, latency and contract changes. Read-only: no tool is ever called. Weights: schema 15, docs 20, safety 15, efficiency 15, compatibility 15, protocol 5, reliability 10, stability 5. Token counts are estimates (~3.6 characters per token).
Operator? Fix these, then re-check live. Embed the readiness badge:
[](https://glimind.com/server/mcp-registry%2Fai.sharebench%2Fregistry?ref=badge)
<a href="https://glimind.com/server/mcp-registry%2Fai.sharebench%2Fregistry?ref=badge"><img src="https://glimind.com/v1/readiness/badge/mcp-registry%2Fai.sharebench%2Fregistry.svg" alt="MCP agent-readiness"></a>
.. image:: https://glimind.com/v1/readiness/badge/mcp-registry%2Fai.sharebench%2Fregistry.svg :target: https://glimind.com/server/mcp-registry%2Fai.sharebench%2Fregistry?ref=badge :alt: MCP agent-readiness
Glimind records every version of this server's tool definitions in a signed, append-only transparency log. Current manifest sha256:b4125fe0710b3fe5…, first seen 2026-10-17, included at leaf 6141 of 74,418. Version history · verify what your client received.
Compare: most reliable retrieval servers · most reliable search servers
Glimind tells agents whether a server is up right now and how to call it, then fails over to a live alternative when it isn't.
Claude Code
claude mcp add --transport http glimind https://glimind.com/mcp
Claude Desktop · Windsurf · Cline (mcpServers JSON)
{
"mcpServers": {
"glimind": {
"type": "http",
"url": "https://glimind.com/mcp"
}
}
}
As of 2026-10-26 17:27 UTC, the Sharebench Registry MCP server is up with a Glimind reliability score of 89/100 (grade B). Over the last 30 days it answered 99.9% of Glimind's liveness checks. It had 29 outages in 90 days, with a median recovery of 3 minutes.
Sharebench Registry MCP server advertises 2 tools, including get_by_id, search.
Point your MCP client at this streamable-http endpoint: https://mcp-public.sharebench.ai
Glimind scanned all 2 tool definitions for tool-poisoning patterns — hidden or invisible characters, instructions that override the model, concealment from the user, requests to read credential or MCP config files, conversation exfiltration and cross-tool shadowing — and found none. This checks what the server tells the model, not what its code does; review the source before granting access to sensitive data.
Status page: 90-day uptime, every outage and how long it lasted.
Claim this listing to get the Verified operator marker, a remediation checklist and owner analytics, or embed the live badge from any of the tool pages above. Maintainers: alerts, deploy attestation and monthly reports.
Status is an automated estimate from Glimind's liveness checks (handshake and tool listing only; no tool is ever called) and may lag or differ from your network. Glimind is not affiliated with this server or its operator. Operator? Request a correction or opt out at https://glimind.com/opt-out.