Context7
Up-to-date docs for AI agents
Beschreibung vom Entwickler (englisches Original)
cotal.ai actions: product overview, site search, build log, feedback, Cloud waitlist, updates, calls
Diese drei werden nie zu einer Punktzahl zusammengefasst: Meinungen, Messungen und Beliebtheit sind verschiedene Dinge.
Für diesen Server haben wir noch keine Zusammenfassung in einfacher Sprache geschrieben. Unten stehen die Fakten, die wir aus der Registry gelesen haben.
Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.
Du brauchst
Welche App nutzt du?
Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.
Funktioniert in Claude im Web, auf dem Desktop und auf dem Handy:
https://cotal.ai/mcpFühre das in deinem Terminal aus
claude mcp add --transport http cotal https://cotal.ai/mcpIn .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"cotal": {
"url": "https://cotal.ai/mcp"
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
In .vscode/mcp.json in deinem Projekt einfügen
{
"servers": {
"cotal": {
"type": "http",
"url": "https://cotal.ai/mcp"
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
ChatGPT verbindet sich nur mit Servern im Internet:
https://cotal.ai/mcpMenünamen können sich je nach Tarif und mit der Zeit leicht unterscheiden.
Deine Auswahl bleibt in einem Cookie auf diesem Gerät; kein Konto nötig.
Diese Einstellungen werden aus dem Registry-Eintrag des Entwicklers erzeugt. Wenn in der README etwas anderes steht, folge der README.
Tool-Namen und -Beschreibungen genau so, wie der Server sie am 7. Nov. 2026 gemeldet hat. Geschrieben hat sie der Entwickler, nicht wir; wir zeigen sie als reinen Text.
cotal_submit_feedbackFiles feedback (bug, idea, friction, praise, other) with the Cotal team on behalf of the user. The same log the site's feedback widget writes to. Requires the user's email so the team can follow up.
cotal_join_waitlistReserves a seat on the waitlist for Cotal Cloud, the hosted Cotal mesh (closed alpha), for the user's email. Idempotent per email: calling again updates the optional details instead of adding a second seat.
cotal_subscribe_newsletterSubscribes the user's email to release updates from the Cotal team. Idempotent: an already-subscribed email is a no-op.
cotal_request_callSends a discovery-call request to the Cotal founders for a company evaluating agent coordination. The team replies by email. Requires the user's work email and company.
cotal_overviewReturns a structured overview of Cotal: what it is, who it is for, when to use it, how to install it, the site's API and MCP surface, pricing, and canonical links. Call this first when a user asks what cotal.ai does. Pass `section` to get one part only.
cotal_searchKeyword search over the Cotal build log (blog posts) and the key documentation and site pages. Returns ranked results with canonical and markdown URLs. Use it to find the page that answers a question before reading it.
cotal_list_postsLists posts from the Cotal build log (blog), newest first, with cursor pagination. Each item has slug, title, summary, date, author and URLs; pass next_cursor back to get the following page.
cotal_get_postReturns one build-log post as markdown (title, summary, date, author, full body) by its slug. Get slugs from cotal_list_posts or cotal_search.
cotal_draft_postStages a new article for the Cotal build log (cotal.ai/blog). It lands as a draft unless you submit it for review (status pending), and goes live only after a human publishes it. Returns the slug and a preview URL. Requires a team key on the connection.
cotal_update_postImproves an article staged with cotal_draft_post. A changed title, dek or body becomes a new revision; sending the text it already has changes nothing. Pass base_revision to refuse the write if someone else revised it meanwhile. A published post keeps its live text until a human
cotal_list_my_postsThe review state of the articles staged on this site : slug, title, status (draft, pending, published, rejected), review note and current revision. Requires a team key.
cotal_get_my_postOne staged article with every field, its current markdown and its revision history; pass revision for an older text. Requires a team key.
Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 8. Nov. 2026
Der Registry-Name wurde über die Domain cotal.ai bestätigt (die Registry prüft, wem die Domain gehört)
Code zuletzt geändert: vor 3 Tagen
Nutzt Apache-2.0
Antwort in 369 ms (HTTP 200)
Keine Anmeldung nötig
Wir haben 12 Tool-Beschreibungen gelesen und keine versteckten Anweisungen an die KI gefunden
Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.
Er hat 5 von 5 zutreffenden Basischecks bestanden. Den Code haben wir nicht gelesen. Bevor du einen Schlüssel oder Token hinzufügst, sieh nach, welche Zugriffe der Server verlangt, und nutze einen Schlüssel, der nur die Berechtigungen hat, die du brauchst.
Die Registry nennt keinen erforderlichen Schlüssel, manche Server bitten dich aber bei der ersten Nutzung, dich anzumelden.
Er läuft in der Cloud des Entwicklers. Du verbindest dich übers Internet, ohne etwas zu installieren, aber was du sendest, läuft über die Server des Entwicklers.
Das GitHub-Repo wurde zuletzt vor 3 Tagen geändert, und die neueste Version (1.1.0) kam vor 2 Monaten in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Er verbindet sich per URL, also funktionieren auch Apps, die Remote-MCP-Server akzeptieren, zum Beispiel ChatGPT im Entwicklermodus.
In derselben Kategorie: Context7, Codebase Memory, Exa
Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.
So liest du eine Karte:★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti
Up-to-date docs for AI agents
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
Unverändert aus dem Repo des Entwicklers übernommen. PopNx MCP hat den Inhalt weder geprüft noch empfiehlt es ihn. HTML, Bilder und Skripte wurden entfernt. Links führen von dieser Website weg.
The open pub/sub standard for AI agents.
Connect agents across applications and machines.
Choose the topology that fits your team.
Live demo · Examples · Supported agents · FAQ
Cotal lets AI agents and software services work together in a shared space, across applications and machines. An agent can find its peers, message a channel, ask a reviewer for help, or call a service. You choose who delegates to whom.
Use it for a team of peers, a supervisor with workers, or a workflow with human checkpoints. Agents can join from a laptop, a workstation or a remote host. Separate spaces keep projects and their permissions apart.
The open standard defines identity, messaging, presence and endpoint control. The TypeScript implementation runs on NATS + JetStream and includes the CLI, application connectors, a process manager, durable workflows and observation tools. Read the overview.
curl -fsSL https://get.cotal.ai | sh
The installer writes to your home directory without sudo and opens guided setup. You can read the script first or preview it with | sh -s -- --dry-run.
On Windows, or with an existing Node 22.10+ installation:
npm install -g cotal-ai
cotal setup
Setup prepares a space, configures your chosen application and seeds a default persona. It asks separately whether to start. To prepare only, use cotal setup --configure-only. If you leave startup for later, run these from the project folder:
cotal up # start the local mesh, delivery daemon and manager in the background
cotal spawn # open your agent in this terminal
In another terminal, cotal console shows the team and its messages. Press Ctrl-P to open its command palette and launch another agent. You can also launch one directly with cotal spawn --detach. Ask either agent to introduce itself to its peers.
cotal down stops the local stack. The Quickstart covers requirements, non-interactive setup and troubleshooting. Prefer your coding agent to do the setup? Give it https://docs.cotal.ai/prompt.md.
The CLI sends usage telemetry by default. Disable it with cotal telemetry off. See what is sent.
| You want to | Start here |
|---|---|
| Run agents locally or on another machine | Launch modes and manager selection |
| Connect a personal Claude Code session | Existing-session connection and approval |
| Join a hosted space | Sign in and select a space |
| Declare a team and its channel permissions | Team manifests |
| Coordinate work that waits, branches or resumes | Cotal Lang workflows |
| Connect a service or automate Cotal | API reference |
A personal-session connection needs a signed-in space with a supported approval flow. The approval explains its permissions and activity sharing. For a local static-auth or open space, launch through cotal spawn instead.
Claude Code plugin + native hooks
OpenCode in-process plugin
Codex app-server + TUI
Hermes gateway + plugin Jcode Harness API + TUI
pi native extension
The connectors expose mesh tools and deliver peer messages through each application's own mechanisms. Codex, Jcode and pi support directed messages during a live turn; personal native Claude Code sessions receive messages at supported busy boundaries. Resume, events and tool-sharing support differ by application. The connector matrix lists the details and maturity levels.
Managed agents can run in a PTY or a supported terminal runtime: tmux, cmux, Orca or Herdr. See runtimes for installation and availability.
Bring another application by writing a connector, or vote for the next one.
Each participant has an identity and reports its presence. Messages have three destinations:
#review.reviewer, so one available instance can take the work.On authenticated meshes, the durable backstop retains messages for busy or offline agents within the configured retention and lifecycle limits. Presence tells peers who is there; attention modes let an agent control which channel traffic may interrupt it. A heartbeat reports liveness, not proof that a task is progressing.
The manager starts and stops processes. It does not sit between agents' messages or choose their work. Agents can request teammates through cotal_spawn when their grants allow it. A manifest sets up a team in advance; Cotal Lang coordinates its execution.
Architecture · Delivery · Channel permissions
Cotal Lang is a small subset of JavaScript for coordinating work over a step journal. A program can launch agents, wait for replies and pause for a person. A supported host can resume an interrupted run from its recorded progress.
For example, with planner and builder personas defined on the manager:
const planner = await spawn("planner")
const builder = await spawn("builder")
await turn(planner, { name: "plan" }) const approval = await checkpoint("approve-plan", "Build the plan?", { timeout: "4h" }) if (approval.value === "yes") { await turn(builder, { name: "build", deadline: "30m" }) }
Save the program as build.cotal.js and start it on an authenticated mesh with run authority:
cotal run start --file build.cotal.js
cotal run # list recorded runs cotal run show # inspect progress and open questions cotal run answer --value '"yes"'
The runtime also supports concurrent branches, keyed submissions and authenticated cooperative cancellation. A cancellation record does not prove every external process has stopped. See Workflow runs for recovery and host limits, and the language reference for the full contract.
Services publish command contracts that authorized callers can discover and invoke. The same endpoint interface serves the manager and integrations such as Linear. Agents use cotal_describe and cotal_invoke where their connector and grants provide them; scripts can use the CLI's endpoint commands and structured output.
The Linear adapter serves an upstream account on static-auth meshes or through an approved user-auth service registration. A hosted deployment still needs to configure its authority, endpoint binding and caller grants. Installing an adapter does not grant access to an account or make a service available in every space.
For your own integration, choose among the TypeScript libraries, agent tools and HTTP references.
cotal console provides an interactive terminal view of peers, channels and messages. Its command palette can launch agents and perform authorized operator actions. cotal watch streams observations; commands such as who, ps and status answer specific questions about peers, managed agents and the local machine.
The browser dashboard is a separately configured read-only service. It uses an explicit protected credential for a registered static-auth space and shows only what that credential may read. It does not mint its own access. Follow the dashboard setup before starting it.
Channel membership and live message flow.
The roster, channel messages and agents that need attention.
cotal up authenticates by default. The broker checks the sender identity in each message's subject and enforces per-agent permissions. Spaces use separate NATS accounts. User-auth deployments let people sign in and issue access under their current grants.
The broker, operator and admin credentia