Context7
Up-to-date docs for AI agents
Beschreibung vom Entwickler (englisches Original)
Product intelligence for AI agents — query a Revelica workspace's ideas, specs, and research.
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://api.revelica.com/mcpFühre das in deinem Terminal aus
claude mcp add --transport http revelica https://api.revelica.com/mcpIn .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"revelica": {
"url": "https://api.revelica.com/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": {
"revelica": {
"type": "http",
"url": "https://api.revelica.com/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://api.revelica.com/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.
Die Tool-Liste dieses Servers haben wir noch nicht gelesen; wir prüfen die Endpunkte reihum.
Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 6. Nov. 2026
Der Registry-Name wurde über die Domain revelica.com bestätigt (die Registry prüft, wem die Domain gehört)
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieses Repo haben wir noch nicht von GitHub gelesen
Noch nicht geprüft; wir prüfen die Endpunkte reihum
Noch nicht geprüft; wir prüfen die Endpunkte reihum
Noch nicht geprüft; wir lesen die Tool-Liste, wenn wir den Endpunkt prüfen
Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.
Er hat 1 von 1 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 – geändert, und die neueste Version (1.0.0) kam vor 5 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.
Revelica Skills
Revelica's plugin package connects an agent to shared product context: customer research, competitive analysis, goals, bets and product specs. It declares the Revelica MCP server, a setup skill and three starting skills. The full workflows live on the server, which names the one for each job in its instructions and loads it with load_skill.
There is one plugin, plugins/revelica/, with a manifest for each host beside it. Each host's catalog sits at the repository root, where that host looks for it. Installation and OAuth support depend on the client.
revelica/skills
├── plugins/revelica/ # The plugin, shared by every host │ ├── .claude-plugin/ # Claude plugin manifest and icon │ ├── .codex-plugin/ # OpenAI (ChatGPT and Codex) plugin manifest │ ├── .mcp.json # The Revelica MCP server │ ├── skills/ # Starting skills (also slash commands in Claude Code) │ └── assets/ # Brand icons ├── .claude-plugin/marketplace.json # Claude Code marketplace catalog ├── .agents/plugins/marketplace.json # Codex marketplace catalog ├── server.json # MCP registry manifest (registry.modelcontextprotocol.io) ├── scripts/package-openai.sh # Exports the portable ZIP for OpenAI's plugin portal ├── REVIEWING.md # Test setup for directory reviewers └── LICENSE # Apache-2.0
/plugin marketplace add revelica/skills
/plugin install revelica@revelica
The plugin bundles the starting skills and the MCP server configuration. Authorize the server connection in your client before using workspace tools.
Add https://api.revelica.com/mcp as a custom connector in your organization's settings. The server's instructions name the skill for each job, and list_skills lists the rest.
codex plugin marketplace add revelica/skills
codex plugin add revelica@revelica
In ChatGPT, install Revelica from the plugin directory once it is listed.
Cursor, Gemini CLI and any other client that speaks Streamable HTTP with OAuth can connect the server directly (see Connecting the MCP Server Directly). We only ship and test plugins for Claude and OpenAI hosts. Release 1.10.1 removed the Cursor and Gemini manifests, which nobody was testing.
The plugin adds a setup skill and three starting skills, the same starting points the Revelica app offers. In Claude Code each is also a slash command:
| Skill | What it does |
|---|---|
/revelica:setup-revelica | Set up Revelica on your own product: your business, a goal and a researched customer, then a first result and a handover to planning. ChatGPT runs it from its Set up prompt after install; in Claude, ask to "set up Revelica". |
/revelica:drive-product-outcome | Plan the work toward our goal: read the goal, its measurements, the active bets and their evidence, then recommend the next action and plan it as work. Sets up anything the workspace is missing along the way. |
/revelica:ingestion | Add insights to the knowledge graph: save a URL, file or note as product evidence, then choose the next useful work. |
/revelica:interview-snapshot | Analyze a customer interview: turn a transcript into a snapshot and the customer problems worth solving. |
The plugin runs no code on your machine. It declares one remote MCP server, https://api.revelica.com/mcp (Streamable HTTP), and bundles Markdown skills that start common work with it.
query, read, create, update, load_skill, list_skills) and their arguments, which carry the product data you ask it to save to your workspace.Nothing else is sent anywhere. See Privacy Policy for how Revelica handles your data.
These tools are provided by the Revelica MCP server and callable from any skill:
| Tool | Description |
|---|---|
query | Search or filter the workspace by criteria. Returns ranked matches, plus the schema template when artifact_type is set. |
read | Read a single artifact or entity in full by id, or navigate to a subtree with a dotted field path. |
create | Create new artifacts or entities. Content validated against registered schemas. |
update | Apply partial field-level updates via dot-path notation. |
load_skill | Load a server skill's instructions, its readiness and a summary of the records it starts from. This does not itself execute a playbook. |
list_skills | List the skills you can load, with each one's name, description and any required inputs. |
All tools require OAuth authentication and enforce Supabase row-level security, so users only see their own workspace's data.
The product workflows are skills on the connected Revelica MCP server: drive-product-outcome, frame-bet, write-product-spec, design-experiment, product-for-coding-agents and others. The server's instructions say which one fits which job, and list_skills shows the full catalog for the connected user.
An Idea is the product spec. Its story map, structured document and Markdown are representations of the same spec.
Loading a skill lets the current agent follow the workflow using the available tools; it does not start a server-side playbook. These tool-based workflows do not require a host to implement the skills-over-MCP extension.
Product workflow instructions live on the Revelica server, so the app and connected agents discover the same canonical workflow. The package's four skills share the names and descriptions of the server skills they start, and load the full workflow from the server with load_skill, so the workflow and the workspace readiness it reports are always current. Release 1.9.0 removed the bundled use-revelica and product-for-coding-agents routers: every supported Claude host shows the server's instructions, which carry the same routing.
Release 1.10.0 moved the plugin into plugins/revelica/, turned the commands into skills so every host can use them, and added the OpenAI manifest. Bump the version in every manifest together, including server.json, and the SERVER_VERSION constant the MCP server reports (revelica_agents/app/mcp_server/server.py in scryfast). Name releases Revelica X.Y.Z and list the targeted platforms in the release notes. Versions belong to Revelica across hosts; platform-specific changes share that version. For example, Revelica 1.10.4 adds Codex plugin metadata and portable packaging for Codex and ChatGPT.
Package updates and server deployments are separate. A newly documented server workflow must be deployed before a connected client can load it. Installing this package does not deploy server changes.
Run bash scripts/package-openai.sh to build dist/revelica-openai- .zip for OpenAI's submission portal. It exports the Codex manifest's listing fields under extensions.com.openai.interface in a portable root plugin.json, and exports .mcp.json as mcp.json with the Streamable HTTP transport name. Review cases and publication metadata are retained. The shared plugin's Claude and Codex compatibility manifests are not included in this public upload. Package validation does not complete the portal's reviewer access, demo, country targeting, scans, or attestations.
The exporter refuses to overwrite an existing archive. For a verification build, choose a new path: bash scripts/package-openai.sh --output /tmp/revelica-check.zip. ZIP entry timestamps and permissions are fixed, so builds with the same Python/zlib toolchain produce identical bytes. Run the packaging checks with python3 -m unittest discover -s scripts/tests -v.
Keep one private copy of the exact ZIP uploaded for review. dist/ stays ignored. Reviewer account details, recordings and submission notes belong outside this public repository. The public manifest contains reusable test cases; supply submission-specific workspace instructions and recording metadata privately when preparing an upload. A fresh export is not a replacement for the original upload.
The skills in plugins/revelica/skills/ carry the name, description and starting prompt of the server skill with the same name (scryfast revelica_agents/app/agents/revelica/skills/). Keep them in step when those change.
If you'd rather connect the server without the plugin, add it as a remote MCP server / custom connector:
| Server URL | https://api.revelica.com/mcp |
| Transport | Streamable HTTP |
| Authentication | OAuth 2.0 with dynamic client registration, so there's no API key to manage |
| Prerequisite | A Revelica workspace (sign up) |
Server metadata is published at /.well-known/mcp/server-card.json.
Revelica's privacy policy covers what data is collected, how it is used and stored, third-party sharing, retention, and how to contact us. It is published at revelica.com/privacy. Terms of service are at revelica.com/terms.
The MCP server reads and writes only the product data in your own Revelica workspace. Every request is authenticated with OAuth and enforced by Supabase row-level security, so a connected agent can never see another workspace's data. The server does not query your chat history, conversation summaries, or files.
Apache-2.0 © Revelica
Revelica is an AI-native product discovery platform. It helps product teams gather customer insights, perform competitive analysis, and experimentally validate ideas that feed into their AI development workflow.
🔗 Homepage with free Pro trial: https://revelica.com
🔗 Template library with playbooks, skills, and insight templates: https://revelica.com/templates
🔗 Free AI tools with no signup required: https://revelica.com/tools