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8 clients · secrets stay placeholders

JSON (mcpServers)Claude CodeCodexOpenCodeCursorVS CodeGemini CLIGoose

{
  "mcpServers": {
    "dna": {
      "type": "http",
      "url": "https://dna.hashgrid.ai/mcp",
      "headers": {
        "Authorization": "Bearer ${DNA_TOKEN}"
      }
    }
  }
}

claude mcp add --transport http dna https://dna.hashgrid.ai/mcp --header "Authorization: Bearer ${DNA_TOKEN}"

[mcp_servers.dna]
url = "https://dna.hashgrid.ai/mcp"
bearer_token_env_var = "DNA_TOKEN"

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "dna": {
      "type": "remote",
      "url": "https://dna.hashgrid.ai/mcp",
      "enabled": true,
      "headers": {
        "Authorization": "Bearer {env:DNA_TOKEN}"
      }
    }
  }
}

{
  "mcpServers": {
    "dna": {
      "type": "http",
      "url": "https://dna.hashgrid.ai/mcp",
      "headers": {
        "Authorization": "Bearer ${DNA_TOKEN}"
      }
    }
  },
  "deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=dna&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vZG5hLmhhc2hncmlkLmFpL21jcCIsImhlYWRlcnMiOnsiQXV0aG9yaXphdGlvbiI6IkJlYXJlciAke0ROQV9UT0tFTn0ifX0%3D"
}

{
  "servers": {
    "dna": {
      "type": "http",
      "url": "https://dna.hashgrid.ai/mcp",
      "headers": {
        "Authorization": "Bearer ${DNA_TOKEN}"
      }
    }
  }
}

{
  "mcpServers": {
    "dna": {
      "httpUrl": "https://dna.hashgrid.ai/mcp",
      "headers": {
        "Authorization": "Bearer ${DNA_TOKEN}"
      }
    }
  }
}

extensions:
  "dna":
    enabled: true
    name: "dna"
    type: streamable_http
    uri: "https://dna.hashgrid.ai/mcp"
    headers:
      "Authorization": "Bearer ${DNA_TOKEN}"
    timeout: 300

Placeholders to fill from your own secret store: ${DNA_TOKEN}. The registry never accepts secret values.

Quality 79 / 100new

protocol88 · weight 25

pass
protocol.modernsupports 2026-07-28 (server/discover)
pass
protocol.statelessanswers without a session
pass
protocol.transportstreamable HTTP
warn
protocol.list_ttltools/list declares ttlMs 0, so clients re-fetch it on every use

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 hygiene71 · weight 30

pass
tools.descriptionsevery tool has a description
pass
tools.description_lengthdescriptions are concise
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_grid (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); delete_edge (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); get_node (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); …
pass
tools.token_costabout 1,109 tokens to load every tool
pass
tools.api_dumptools are not a one-to-one API dump

stabilityn/a · weight 15

n/a
stability.changes, stability.rug_pulltool history recorded for 0 of the 7 days needed

dependenciesn/a · weight 15

n/a
deps.known_vulns, deps.mcp_sdk_version, deps.resolvableno npm or PyPI package

12 tools, about 1,109 tokens to load them all · tool set 7ad248b66d25 · checked 2026-10-20 06:17 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 83 / 100

no-repository

provenance55

liveness100

freshness100

hygiene80

+dns-namespace +website +reachable +uptime-100% +updated-1d-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

remote	auth	reachable	uptime 30d	p50	protocol	last ok
`https://dna.hashgrid.ai/mcp` streamable-http	api_key `${DNA_TOKEN}`	yes	100%	394 ms	2026-07-28	2026-10-20

Tools (12)

`create_edge`	POST /nodes/{nid}/edges, the search: from query node `nid`, the best node it has not been shown yet, among those whose key starts with `prefix` ("" for any), stored as a new edge: `id` is the found node's id, `score` is null until you score it (update_edge). Null when nothing is left. Call again for the next.
`create_node`	POST /nodes: add a node. An item gets a `key`, a path unique in the grid (e.g. "/items/42"), so searches can find it; a query gets none. `emb` is its embedding, 1 to 2048 floats from any model; use one model per grid. Returns its id and key (not its emb, to keep replies short; get_node has it).
`delete_edge`	DELETE /nodes/{nid}/edges/{eid}: forget a result, so it can be suggested again; its score no longer trains.
`delete_node`	DELETE /nodes/{nid}: delete a node and every edge from or to it; its scores no longer train.
`get_edge`	GET /nodes/{nid}/edges/{eid}: one result of query `nid`, and its score (null if not scored).
`get_grid`	GET /: the grid the API key opens, by name.
`get_node`	GET /nodes/{nid}: a node, with its key (null if it has none) and its embedding `emb`.
`list_edges`	GET /nodes/{nid}/edges: a query's results so far, each an edge with the found node's `id` and its `score` (null if not scored), in id order. `limit` is 1 to 1024; for the next page, pass the last id as `cursor`.
`list_nodes`	GET /nodes: the grid's nodes, each with its id, key and emb, in id order. `limit` is 1 to 1024; for the next page, pass the last id as `cursor`.
`put_edge`	PUT /nodes/{nid}/edges/{eid}: score how well node `eid` fits query `nid`, from -1 (wrong) to 1 (perfect), creating the edge if DNA never suggested it, e.g. scores you already have. Only scores train DNA; a new score replaces the last.
`update_edge`	PATCH /nodes/{nid}/edges/{eid}: score a result of query `nid` that create_edge returned, from -1 (wrong) to 1 (perfect). Only scores train DNA; a new score replaces the last.
`update_node`	PATCH /nodes/{nid}: change a node. `key`: a new path, or null to remove it, so the node can no longer be found; leave it out to keep it. `emb`: a new embedding; leave it out to keep it. Its scores keep training, on the new embedding. Returns its id and key.

Schemas: list_tools.

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More from ai.hashgrid

Official server.json

{
  "name": "ai.hashgrid/dna",
  "title": "Hashgrid DNA",
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "remotes": [
    {
      "url": "https://dna.hashgrid.ai/mcp",
      "type": "streamable-http",
      "headers": [
        {
          "name": "Authorization",
          "isSecret": true,
          "isRequired": true,
          "description": "Your DNA API key, as \"Bearer hg-…\". No key yet? Write to [email protected]."
        }
      ]
    }
  ],
  "version": "1.1.0",
  "websiteUrl": "https://dna.hashgrid.ai",
  "description": "A search engine that learns from feedback, over embeddings: one tool per API route."
}