model-context-stream

A living, event-driven MCP server. Agents connect over the Model Context Protocol and follow model context streams — append-only event logs. When any agent (or an external system) publishes an event, every subscribed agent gets an MCP resources/updated notification and pulls the new context. Add a shared task queue (atomic claims, leases) and versioned protocols (playbooks), and a fleet of agents stays mutually context-aware in real time.

  agent A ──publish──▶ ┌───────────────────────┐ ──notify──▶ agent B
  agent C ◀──notify──  │  model-context-stream │ ◀──claim── agent D
  CI/webhooks ─ingest─▶│  (MCP + Redis Streams)│
                       └───────────────────────┘

Why

• Coordination without collisions — agents announce work on streams; the task queue guarantees exactly-one-claimant via atomic Redis Lua claims with crash-safe leases.

• Shared situational awareness — a monitoring webhook publishes once; every following agent knows.

• Replayable context — streams are append-only logs: a fresh agent replays recent events and is caught up (event sourcing for agent context).

• Living SOPs — update a protocol once; every subscribed agent is notified and follows the new version.

Related MCP server: kitty-hive

Quick start

No clone needed — prebuilt multi-arch images ship on GHCR:

mkdir mcs && cd mcs
curl -sO https://raw.githubusercontent.com/thejavapirate/model-context-stream/main/docker-compose.yml
MCS_TOKENS="tok_ops:ops:admin,tok_agent:fleet" docker compose up -d --no-build
curl -s localhost:3000/healthz

Or on Kubernetes, straight from the OCI registry:

helm install mcs oci://ghcr.io/thejavapirate/charts/model-context-stream \
  --set auth.tokens="tok_ops:ops:admin,tok_agent:fleet"

From a clone (builds locally):

cp .env.example .env          # set MCS_TOKENS
docker compose up -d --build
curl -s localhost:3000/healthz

Connect any MCP client to http://localhost:3000/mcp (Streamable HTTP) with Authorization: Bearer <token>. Try it interactively:

npx @modelcontextprotocol/inspector

Claude Code

claude mcp add --transport http context-stream http://localhost:3000/mcp \
  --header "Authorization: Bearer tok_local_dev" --header "X-Agent-Name: my-agent"

The API surface

Resources (subscribe for live updates):

| agents://online | Live presence roster: connected agents + their claimed tasks |

Tools: publish_event, read_stream (pull fallback: blockMs long-poll, cursor/commit durable resume), commit_cursor, list_cursors, list_streams · create_task, claim_task, update_task_progress (doubles as lease heartbeat), complete_task, fail_task, release_task, list_tasks · list_protocols, get_protocol, put_protocol · list_upstreams · whoami

Admin tools (require an :admin token): configure_stream (retention + digest policy), add_webhook / remove_webhook / list_webhooks, add_upstream / remove_upstream

Prompts: follow_protocol, catch_up

Tool federation (senses in)

Connect the server to upstream MCP servers once; every agent gets their tools, namespaced {upstream}__{tool}, with live tools/list_changed when the upstream set changes:

add_upstream {name: "github", url: "https://api.githubcopilot.com/mcp/", token: "..."}
→ every agent now has github__create_pull_request, github__search_issues, …

Upstream outages degrade gracefully (calls return errors, background reconnect with backoff); self-federation is refused.

Outbound webhooks (senses out)

The mirror of ingest — stream events POSTed to external URLs, HMAC-signed (X-MCS-Signature), type-filterable, with retries and auto-disable after sustained failure (announced on stream://system). Admin-managed; note the SSRF implication: only admins can point the server at URLs.

Agent-driven compaction (memory hygiene)

Set configure_stream {stream, digestThreshold: N} and when the stream grows past N, the server creates a digest task on its own queue. Any connected agent claims it, follows the seeded stream-digest protocol (summarize the old range into one stream.digest event), and the server verifies + trims. The fleet maintains its own memory — no LLM key in the server.

HTTP ingest for non-MCP systems (CI, GitHub webhooks, monitoring):

curl -X POST localhost:3000/ingest/deployments \
  -H "Authorization: Bearer $TOKEN" -H "content-type: application/json" \
  -d '{"type": "ci.build.failed", "payload": {"repo": "api", "sha": "abc123"}}'

How it works

• Redis Streams back every context stream (XADD/XRANGE, approximate MAXLEN trimming, AOF persistence). The entry ID is the replay cursor.

• One blocking XREAD loop per process fans events out to in-memory session subscriptions; a control stream interrupts the parked read so new subscriptions arm instantly.

• Notifications are debounced (200ms trailing edge, 1s max wait) — lossless, since resources/updated carries only a URI and clients re-read.

• Tasks are a state machine in Redis hashes with Lua-scripted atomic claims. Leases expire: a crashed agent's task returns to the queue within ~lease+10s. Every lifecycle change is also an event on stream://tasks, so who-is-doing-what is itself followable context.

• Clients without subscription support (it's an optional MCP capability) use read_stream with blockMs as a long-poll.

Identity: X-Agent-Name header → token-bound name → MCP clientInfo → anonymous. Stamped as source on every event and claimedBy on claims — never client-supplied inside payloads.

Development

Working on this repo with a coding agent? AGENTS.md has the full brief: commands, architecture map, hard rules, and the gotchas that have bitten before. .mcp.json auto-connects Claude Code sessions in this directory to a locally running stack.

npm install
npm run dev          # tsx watch (needs a local redis, e.g. docker compose up redis)
npm test             # unit tests (testcontainers — needs Docker)
npm run test:e2e     # in-process two-client smoke
npm run smoke        # smoke an already-running server: MCS_URL / MCS_TOKEN
npm run typecheck

Configuration

TLS is a deployment concern — put a reverse proxy in front for anything non-local.

Operating it (Kubernetes / cloud)

A production Helm chart ships in deploy/helm/model-context-stream:

helm install mcs deploy/helm/model-context-stream \
  --set auth.tokens="tok_ops:ops:admin,tok_fleet:agents" \
  --set image.repository=ghcr.io/you/model-context-stream --set image.tag=0.2.0

• Bundled Redis (StatefulSet + PVC + AOF) by default; set redis.enabled=false + externalRedisUrl for managed Redis.

• Prometheus metrics at GET /metrics: mcs_connected_sessions, mcs_events_published_total, mcs_tasks{status}, mcs_webhook_failed_deliveries_total, mcs_streams_compacted_total, plus process defaults. Scrape annotations are one uncomment away in values.yaml.

• Scaling posture: MCP sessions live in server memory — ship replicaCount: 1, or enable the documented session-affinity blocks (Service ClientIP or nginx-ingress cookie affinity) before scaling out. NOTES.txt warns on risky configurations at install time.

• Hardened defaults: non-root, read-only rootfs, dropped capabilities, liveness/readiness on /healthz (which requires a Redis round-trip).

• Package/publish: helm package deploy/helm/model-context-stream → helm push to any OCI registry.