OSMP MCP Server

MCP server for the Octid Semantic Mesh Protocol (OSMP). Deterministic encode/decode of agentic AI instructions by table lookup. No inference at decode.

Install

pip install osmp-mcp

Connect

Claude Code

claude mcp add osmp -- osmp-mcp

Claude Desktop

Add to claude_desktop_config.json:

{
    "mcpServers": {
        "osmp": {
            "command": "osmp-mcp"
        }
    }
}

Cursor / VS Code / Any MCP Client

{
    "servers": {
        "osmp": {
            "command": "osmp-mcp",
            "transport": "stdio"
        }
    }
}

Tools (8)

Tool	What it does
`osmp_encode`	Structured fields to SAL instruction
`osmp_decode`	SAL to structured fields (handles compound instructions)
`osmp_compound_decode`	DAG topology and loss tolerance analysis
`osmp_lookup`	Search the opcode dictionary by namespace and/or keyword
`osmp_discover`	Search domain corpora by keyword and/or code prefix (ICD-10-CM, ISO 20022, MITRE ATT&CK)
`osmp_resolve`	Single domain code lookup (exact code required)
`osmp_batch_resolve`	Multiple exact domain codes in one call
`osmp_benchmark`	Canonical conformance suite

Resources (6)

URI	Content
`osmp://system_prompt`	SAL grammar, composition rules, and reference (~390 tokens)
`osmp://about`	Protocol design philosophy
`osmp://dictionary`	Full ASD (342 opcodes, 26 namespaces)
`osmp://grammar`	SAL formal grammar (EBNF)
`osmp://corpora`	Available D:PACK/BLK domain corpus stats
`osmp://examples`	11 annotated SAL examples

Agent Quickstart

Read osmp://system_prompt
Use osmp_lookup to find opcodes by namespace or keyword
Compose SAL directly from the dictionary
Use osmp_discover to find domain codes you don't know (keyword + optional prefix)
Use osmp_resolve for exact code lookup once you have the code
Use osmp_compound_decode to check DAG topology before transmitting
Use osmp_decode to parse received instructions

Context Window Footprint

~124 tokens on connect (server instructions + tool schemas + resource listings). ~514 tokens total after reading the system prompt. Composition rules added to prevent common grammar errors observed during agent testing. Still under 0.3% of a 200K context window.

Links

License

Apache 2.0 with express patent grant.

This server cannot be installed

-

security - not tested

F

license - not found

-

quality - not tested

How are these scores calculated?

Resources

GitHub Repository

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OSMP (Octid Semantic Mesh Protocol)