Skip to main content
Home

Use AI to explore Bittensor

Point any agent at metagraphed — over MCP, a typed SDK, or plain HTTP — and it can find, explain, and call the right Bittensor subnet for a task. No key, no account.
129
Subnets covered
2,292
Callable services
204
MCP tools

01Hand off context

Copy once, ingest once — everything an agent needs to start using metagraphed on its own.

One-file context bundle

Hand this to an agent and it can use metagraphed.

Paste-ready system prompt that turns any agent (Claude, Cursor, …) into a metagraphed-powered Bittensor integration agent.

02Connect your client

MCP is the fastest path — no install in the consuming project. The SDK, skill, and chat links below are alternates for hosts that can't speak MCP.

claude mcp add --transport http metagraphed https://api.metagraph.sh/mcp
api.metagraph.sh/mcpserver card204 tools over streamable-http
search_subnetslist_subnetsfind_subnets_by_capabilityget_subnetget_subnet_detailget_subnet_snapshotget_network_healthget_health_historyget_subnet_healthget_subnet_health_trendsget_health_trendsget_subnet_health_percentilesget_subnet_health_incidentsget_subnet_economicsget_subnet_stake_quoteget_stake_action_previewget_economicsget_subnet_trajectoryget_economics_trendsget_subnet_concentrationget_subnet_performanceget_subnet_idle_stakeget_chain_concentrationget_chain_performance
pip install metagraphedPython · metagraphed
npm i @jsonbored/metagraphedTypeScript · @jsonbored/metagraphed
gh skill install JSONbored/metagraphed bittensorBittensor skill

Paste-ready system prompt that turns any agent (Claude, Cursor, …) into a metagraphed-powered Bittensor integration agent.

Open in Claude Open in ChatGPT

03Query the registry live

Query the registry live

Grounded answers and vector search over all 129 subnets — the same data the MCP's 204 tools and 2,292 callable services are built on. Run a real query below.

Same call as

04Deeper integrations

Context files, the OpenAPI contract, GraphQL, bulk data, and everything else the registry exposes directly.

Agent workflows

Copyable REST/npm/Python/MCP call examples, one per workflow.

/agent-workflows.md

llms.txt

The llms.txt convention — a directory of every doc page as plain links.

/llms.txt

llms-full.txt

The full corpus concatenated into one file, for agents that ingest in bulk.

/llms-full.txt

OpenAPI 3.1 contract

Every route, typed. Point any OpenAPI codegen at it for a typed client.

/metagraph/openapi.json

Agent capability catalog

Every callable service in the registry, in one paginated list.

/api/v1/agent-catalog

Coverage depth scorecard

How complete each subnet's registry entry is, scored.

/api/v1/coverage-depth

Semantic search

Vector search over subnets and surfaces — the REST form of Search above.

/api/v1/search/semantic?q=

Ask (grounded Q&A)

Grounded Q&A with citations — the REST form of Ask above.

/api/v1/ask

GraphQL (shaped registry queries)

Shaped queries over the registry instead of stitching multiple REST calls.

/api/v1/graphql

Live request/response fixtures

Real request/response pairs captured live, for writing tests against.

/api/v1/fixtures

Cross-network lineage

Cross-network lineage — which mainnet subnet a testnet one mirrors.

/api/v1/lineage

Bulk CSV datasets

The whole registry as flat CSV, for a notebook or a spreadsheet.

/datasets/index.json