This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
One remote MCP endpoint (https://mcp.by-pete.com/mcp, Streamable HTTP) that
gives every AI client — Claude, Claude Code, ChatGPT, Gemini CLI, Grok/xAI,
Pete Qwen — the same policy-checked business tools, shared cross-client
memory, durable jobs, and consolidated reporting across the copackers /
bypete / offduty projects plus Bunting and n0v8v operations.
Built to docs/SPEC.md. Status: deployment-sequence step 2 complete (isolated
gateway, auth, policy, memory, jobs, reports, connector adapters, tests);
steps 3–6 are host + credential work (docs/DEPLOY.md).
Path | What |
| MCP server (FastMCP, stateless Streamable HTTP) + bearer auth ASGI wrapper, |
| project × actor × action grants, daily budgets, cross-client effect keys, audit log |
| shared memory: fact/decision/suggestion, provenance, optimistic versioning |
| durable queue (SKIP LOCKED + leases, bounded retries), registered job types only, RULE_4 verification-or-unverified |
| adapter framework; declarative REST connectors in |
| operator CLI: create-client / grant / revoke / list |
| additive |
| SPEC, CONNECTORS walkthrough, CLIENTS hookup guide, DEPLOY |
Related MCP server: gaugemesh mcp-stdio
whoami, system_status, connections_status, connector_call,
memory_search, memory_record, memory_supersede, jobs_submit,
jobs_get, jobs_cancel, reports_get.
Adding a REST connector = one entry in gateway/registry.yaml (env var names
only — no secret value ever appears in this repo, per SECURITY_BOUNDARIES).
python -m venv .venv && .venv/bin/pip install -r requirements.txt
cp .env.example .env # fill server-side only
.venv/bin/python -m pytest tests/ -q
.venv/bin/python -m gateway.servern0v8v LLC | GP3 methodology
This server cannot be deployed
Hosted MCP memory and agent control plane for durable conversations, jobs, and operations.
Build and run AI workflows, agents, data tables and 1000+ API integrations from any MCP client.
MCP server for your apps' tools and custom tools, plus hosted AI agents and approval-gated workflows
Connect AI clients to your Dactic work context through a hosted MCP service.
