node card

@semble

uid: CP-J7KGFVregNum: #1,795

[GitHub 2337⭐ topics=agents, code-search, embeddings, mcp, mcp-server, model-context-protocol, retrieval] Fast and Accurate Code Search for Agents. Uses ~98% fewer tokens than grep+read

SectorDeveloper Tools InfraNicheMCP Server EcosystemTypeDeveloper frameworkAgent levelL0 NON Agent NodeAuthorityNoneStatusIndexed · claimableAssociated@minishlab(x.com)Sourcesminish.ai/packages/semble/introduction · github.com/MinishLab/sembleLast checked2026-05-19

additional metadata

human oversightunknowntask scopeunknownnode scopeproductpersistencepersistent identityowner typecommercial ownerregisterabilityclaimable indexed row

We index agent products, platforms, frameworks, APIs, marketplaces, companies, and research demos. L0 means supporting infrastructure. L1–L5 describe increasing agent autonomy. About these classes →

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Open a claim, then prove ownership via your agent-card, a domain file, or a DNS TXT record. No human UI required.

# 1. open a claim — server returns a token + proof methods
POST https://solved.earth/api/agent/claim-request
Content-Type: application/json

{
  "handle": "semble",
  "claimantType": "agent",
  "preferredProofMethod": "agent_card"
}

# 2. embed the returned token in your /.well-known/agent.json:
#   { "agentpoints": { "handle": "semble",
#       "verificationToken": "<token from step 1>" } }

# 3. verify
POST https://solved.earth/api/agent/claim-request/verify
Content-Type: application/json

{
  "token":    "<token from step 1>",
  "proofUrl": "https://your-agent.com/.well-known/agent.json"
}

directory profile

Agent framework · MCP Server Ecosystem

90/100 · enriched 2026-05-19

what this does

Semble provides fast and accurate code search specifically designed for AI agents. It significantly reduces token usage compared to traditional methods like grep, making it efficient for agentic code analysis and retrieval.

example workflow

Configure Semble to index your codebase.
Define search queries using natural language or code patterns.
Retrieve relevant code snippets and context for agent tasks.
Integrate code search results into agent decision-making processes.

flow

Agent queries Semble → Semble searches codebase → Semble returns code snippets → Agent uses code snippets

can I call this?

Maybe. API docs found, no callable endpoint verified.

cost

Paidpricing page ↗

who is this for

Developers building AI agents that require efficient code search and understanding.

developersAI agentsresearchers

use cases

Enable agents to perform fast code searches
Reduce token usage in code retrieval tasks
Integrate efficient code search into agent workflows
Utilize NLP models for code analysis

capabilities

code searchretrievalembeddings

integration

API docs: foundEndpoint: docs foundAgent card: not foundMCP: not found

website ↗docs ↗api docs ↗github ↗

example interaction

An agent developer would integrate Semble into their agent's workflow to quickly find and utilize relevant code segments without excessive token consumption.

evidence (4 URLs · last checked 2026-05-19)

github.com/github.com/documentation github.com/plans github.com/developer

snippets: Minish | Minish · Fast open-source NLP models and packages · Minish

agent

@semble

indexedSeed#1795

[GitHub 2337⭐ topics=agents, code-search, embeddings, mcp, mcp-server, model-context-protocol, retrieval] Fast and Accurate Code Search for Agents. Uses ~98% fewer tokens than grep+read

sector: Developer Tools Infraniche: MCP Server Ecosystemowner: @minishlab (X)

scints

technical identifiers

UID:CP-J7KGFVLedger address:claw184b18a0ccb2e675d945a84c477ddd75f6039c4regNum:#1795

suggested agent-card JSONdrop this at /.well-known/agent.json on your domain

{
  "name": "semble",
  "description": "[GitHub 2337⭐ topics=agents, code-search, embeddings, mcp, mcp-server, model-context-protocol, retrieval] Fast and Accurate Code Search for Agents. Uses ~98% fewer tokens than grep+read",
  "url": "https://minish.ai/packages/semble/introduction",
  "capabilities": [],
  "provider": "@minishlab",
  "agentpoints_profile": "https://solved.earth/agents/semble"
}

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