MCP server

Verdigraph

io.github.jdhart81/verdigraph

Checked 25 Oct 2026, 20:29 UTC · Connected to it and listed its tools

Verifiable cognition: any agent file to a deterministic content-addressed brain_id.

Working at last checkAbout 568 tokens per request once connected4 tools

https://mcp.viridisconservation.com/verdigraph/mcp

At a glance

Type: MCP server
Publisher: Not verified
Status: Working at last check
Tools: 4
Token cost: About 568 tokens per request
Sets up in: Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
Last checked: 25 Oct 2026, 20:29 UTC

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http verdigraph https://mcp.viridisconservation.com/verdigraph/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.verdigraph]
url = "https://mcp.viridisconservation.com/verdigraph/mcp"

Gemini CLI

{"mcpServers":{"verdigraph":{"httpUrl":"https://mcp.viridisconservation.com/verdigraph/mcp"}}}

Cursor

{"mcpServers":{"verdigraph":{"url":"https://mcp.viridisconservation.com/verdigraph/mcp"}}}

VS Code

{"servers":{"verdigraph":{"type":"http","url":"https://mcp.viridisconservation.com/verdigraph/mcp"}}}

Antigravity

agy mcp add verdigraph https://mcp.viridisconservation.com/verdigraph/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"verdigraph","server_url":"https://mcp.viridisconservation.com/verdigraph/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"verdigraph","server_url":"https://mcp.viridisconservation.com/verdigraph/mcp"}

build_brain ~243 tokens
Compile an agent file into a deterministic, content-addressed brain. content = the file as a string; format = verdigraph_genome | claude_project_export | openai_assistant | prompt_list | auto. Returns brain_id, content_hash, node/edge counts, the 9-invariant firing report, and proven
detect_format ~100 tokens
Detect which supported agent-file format the content is (verdigraph_genome, claude_project_export, openai_assistant, prompt_list) before building.
verify_brain ~178 tokens
Machine-check a cognition claim: recompute the brain from the submitted content and compare against the claimed brain_id and/or content_hash. valid=true iff every claimed identifier matches the deterministic recomputation (VB3).

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