Hexis MCP Server
io.github.Bevel-Software/hexis
Git-backed control plane for AI agent skills, tools, and context with centralized management and access control.
What is the Hexis MCP server?
The Hexis MCP server is a git-backed platform that provides centralized management of skills, tools, and context for AI agents. It enables teams to browse, propose, review, and access-control plugins and knowledge through a single interface, with every change tracked in git for full auditability. Agents connect via MCP to discover and use only the skills and tools their role permits.
Hexis is a self-hosted, MCP-native control plane where your company's AI plugins, tools, and knowledge live centrally. Engineers and non-technical users can browse and propose skills, manage team access, and review changes before they ship. Unlike MCP gateways, Hexis supports bidirectional workflows: agents can propose fixes to broken skills, and humans decide whether to approve them. Every change is a git commit, so you get full audit trails, version history, and the ability to undo changes.
How to install Hexis
Copy-paste configuration for popular MCP clients.
{
"mcpServers": {
"hexis": {
"url": "https://demo.bevel.software/api/mcp"
}
}
}{
"mcpServers": {
"hexis": {
"serverUrl": "https://demo.bevel.software/api/mcp"
}
}
}{
"servers": {
"hexis": {
"type": "http",
"url": "https://demo.bevel.software/api/mcp"
}
}
}{
"mcpServers": {
"hexis": {
"command": "npx",
"args": [
"-y",
"mcp-remote",
"https://demo.bevel.software/api/mcp"
]
}
}
}claude mcp add --transport http hexis https://demo.bevel.software/api/mcpTools & capabilities
Tools this server exposes to the agent.
list_skills— Discover available skills without loading them all into contextsearch— Search for specific skills and toolsget_skill— Retrieve a single skill at call time
Use cases
- Connect Claude or Cline to your team's centralized skill library and use approved company context without copying prompts between tools
- Propose improvements to broken skills mid-task and have owners review and approve the fix before it ships
- Manage fine-grained access control so agents and team members only see skills and tools their role permits
- Track every change to skills and tools through git history, blame, and audit trails for compliance and governance
- Share skills across your organization with built-in review workflows on protected branches
Hexis MCP server FAQ
Hexis is a git-backed control plane for AI agent skills, tools, and context. It's a self-hosted, MCP-native platform where teams centrally manage, review, and access-control plugins and knowledge. Every change is tracked in git for full auditability.
Yes, Hexis is open-source under the Apache-2.0 license. You can self-host it on your own infrastructure. Bevel also offers managed hosting if you prefer not to run it yourself.
Connect via MCP: for Cline, use `cline mcp install hexis --transport http https://demo.bevel.software/api/mcp`. For Claude, configure Hexis as an MCP server in your client settings. The demo instance is at demo.bevel.software; for your own deployment, replace the host.
Deploy with Docker in 5 minutes: download docker-compose.yml and .env.example, fill in four required values (ADMIN_EMAIL, ADMIN_PASSWORD, JWT_SECRET, SECRETS_ENC_KEY), and run `docker compose up -d`. For local development, clone the repo, install Node 22 and pnpm, then run `pnpm dev`.
Hexis supports password login and SSO (Google, GitHub, etc.). It provides per-file access control via roles, so agents and users only see skills and tools their role permits. Changes to protected branches require approval from file owners.
Unlike uni-directional MCP gateways, Hexis supports bidirectional workflows: non-technical users can propose skills, agents can suggest fixes, and owners review and approve changes. All changes are tracked in git with full audit trails, blame, and revert capability.
README (reference)
Source of truth, from the repository.
Git-backed control plane for AI-agent skills, tools, context, permissions and identity. Self-hosted and MCP-native.
One place where your company's AI plugins, tools and knowledge live: centrally managed, reviewed and access-controlled, and usable from any AI agent. The open-source core of the Bevel platform.
Why Hexis?
For teams
One place where engineers and non-technical people alike can browse and load plugins, propose suggestions, and manage access.
For enterprises
Every skill, tool manual and permission is a file in a git repository you own, so the audit trail is the storage layer: who changed what, when, who approved it, and how to undo it. An agent can only do what the person running it can do, resolved per file, and it never holds the credentials it uses. Runs on your infrastructure, behind your own SSO.
Why it's different from MCP gateways:
MCP gateways are uni-directional; users can consume plugins, skills or tools but there is no mechanism here for users to propose changes or share new skills and MCP servers. You can do this via GitHub in the back, but this is not accessible to non-technical users and there is no fine-grained access control for either viewing or the review process.
Hexis can do all of the above specified capabilities for distribution, and has this bidirectionality needed for management.
In Hexis, skills and tool manuals are reviewable files. Anyone can propose a change; on protected branches it reaches the owners of the files it touches and ships only once they approve. Agents propose too: one that hits a broken skill mid-task can suggest the fix, and a person decides whether it lands.
Contents
- See Hexis in action
- Connect Hexis to Cline
- Try the live demo
- Managed hosting
- Deploy with Docker
- Local development
- Configuration reference
- Troubleshooting
- Repository layout
- FAQ
Watch the full walkthrough: connect an agent, use company context, review proposed changes, and manage team access.
See Hexis in action
Propose and approve skill changes
Anyone can propose a new skill or improve an existing one. On protected branches, owners review the exact change and approve it before it becomes available to the team's agents.

Use your team's skills in Claude
Connect Claude to Hexis over MCP, then ask normally. Claude can discover and load the approved skill instructions and company context your role can access, without copying prompts between tools.

Connect Hexis to Cline
Cline can connect directly to Hexis as a remote Streamable HTTP MCP server. Install the public demo connection from the Cline CLI:
cline mcp install hexis --transport http https://demo.bevel.software/api/mcp --yes
Complete the OAuth sign-in in your browser when prompted. Cline then discovers
the skills, tools and context your Hexis role can access. For your own Hexis
deployment, replace demo.bevel.software with your deployment's host.
Share skills with the right people
Add teammates to roles or grant access directly when needed. Everyone connects to the same workspace, while each person and their agent only sees what they are allowed to read.

Try it first: the live demo
demo.bevel.software is a public instance you can sign into with your Google account, populated with a fictional company's knowledge, skills and tools. The Start here page walks you through the whole loop: connect your own agent over MCP, have it build a sales deck from a skill, watch its proposed improvement arrive as a change request. The demo is shared and read-mostly (visitors propose, owners approve); everything below gets you the same thing with none of the limits.
Want a managed instance?
We run it for you (hosting, upgrades, backups, SSO) and your team just signs in. Write to ali.raza@bevel.software.
Deploy it in 5 minutes (Docker)
You need: Docker with Compose on a server (or your laptop; one extra line below), and an empty git repository on any host (GitHub, GitLab, Bitbucket, Azure DevOps, self-hosted) to hold your knowledge base. The app seeds it with a starter template on first run.
Grab the two deployment files — no clone needed:
mkdir hexis && cd hexis
# v0.10.0 below = the release this page was written against; replace with the latest release tag
wget https://raw.githubusercontent.com/Bevel-Software/Hexis/v0.10.0/docker-compose.yml
wget -O .env https://raw.githubusercontent.com/Bevel-Software/Hexis/v0.10.0/.env.example
(Working from a git clone works identically — both files sit at the repo root;
cp .env.example .env.)
Open .env and fill in the four required values (everything else can wait):
ADMIN_EMAIL=you@example.com # the deployment owner, always an admin
ADMIN_PASSWORD=pick-something # sign-in password; only with password login (SSO-only deployments drop it)
JWT_SECRET=… # generate with the command below
SECRETS_ENC_KEY=… # generate with the command below
Generate the two secrets (run twice, paste one result into each):
node -e "console.log(require('crypto').randomBytes(32).toString('base64'))"
# no Node installed? docker run --rm node:22-slim node -e "console.log(require('crypto').randomBytes(32).toString('base64'))"
For a public deployment served over HTTPS by the bundled proxy, also set the domain — it derives everything else public (origins, proxy hop):
DOMAIN=bevel.your-domain.com
Then start everything. Deploying pulls the image CI publishes on every
release — nothing compiles on your server, so a small instance suffices.
Pin the version in .env (HEXIS_VERSION=0.10.0) so a later pull can't
become an unplanned upgrade — UPGRADING.md covers upgrades
and backups. Building from source instead (a staging server tracking a
branch, a fork) is
deployment/docker-compose.build.yml
(explained in deployment/).
Public HTTPS, no proxy of your own (a bare EC2 instance, a plain VPS):
the https profile starts Caddy in front of the app, with automatic Let's
Encrypt certificates for DOMAIN and the HTTP→HTTPS redirect. First: a DNS
A (or AAAA) record for the domain pointing at the server, and ports 80 + 443
open to the internet (port 80 is not optional — the certificate challenge and
the redirect both use it).
docker compose -f docker-compose.yml --profile https up -d
Behind your own reverse proxy (Coolify, Traefik, nginx): skip the profile
— two things terminating TLS for one app is one too many. Instead of DOMAIN,
set the origin values and the proxy hop count in .env, so OAuth redirects
are built right and rate limits see real client IPs instead of the proxy's:
PUBLIC_BACKEND_URL=https://bevel.your-domain.com # public origin; OAuth redirects are built from it
PUBLIC_FRONTEND_URL=https://bevel.your-domain.com # same origin: the backend serves the SPA
TRUST_PROXY=1 # your proxy hop count
docker compose -f docker-compose.yml up -d
The explicit -f matters in a clone: it skips docker-compose.override.yml,
so the app publishes no host port — your proxy reaches it on port 3001
over the compose network. This is deliberate: a fixed published port makes
every redeploy fail with port is already allocated, because the replacement
container starts while the outgoing one still holds it.
Open your domain and sign in with ADMIN_EMAIL / ADMIN_PASSWORD.
Just trying it on your laptop? Same steps, minus DOMAIN and the origin
values — plus one extra file: docker-compose.yml alone publishes no host
port (see above), and docker-compose.override.yml is the piece that puts
the app on localhost. A clone already has it; next to the wget'd files, fetch
it too:
wget https://raw.githubusercontent.com/Bevel-Software/Hexis/v0.10.0/docker-compose.override.yml
docker compose up -d
Then open http://localhost:3001 (a different port:
APP_PORT=8080 docker compose up -d). Leave TRUST_PROXY unset here — with
no proxy in front, trusting forwarded headers would let clients spoof their
own address.
First sign-in: the setup screen
The app asks for the things it could not guess, and tests them against the real host before saving:
- Knowledge-base repo: the https clone URL of that empty repository.
- Git credential: a token with read/write access to it (for GitHub: a fine-grained personal access token with Contents: read & write on that one repo is enough).
- Branch model: which branch is the default and which are protected
(changes to protected branches only land through approved change requests).
The repository's real branches are offered as suggestions; for an empty repo
the default (
main) is fine.
Since the repo is empty, the app initialises it from the bundled template and
writes a roles.yaml whose first Admin is you. That's it: you're in the
workspace. Head to Skills & Tools to make your first plugin and skill, and to
Connect (in the app menu) to hook up an agent over MCP.
Going to production? Configuration reference covers single sign-on, the state you need to back up, health checks, and configuring by environment instead of the setup screen.
Local development (run from source)
You need: Node 22 (.nvmrc; the engine range is >=22 <23),
pnpm 10, git ≥ 2.41, and a Postgres 17 (the bundled one is fine):
docker compose up -d db # just the database
pnpm install
pnpm build # builds the packages the apps import
cp .env.example .env # fill the same four required values;
# the default DATABASE_URL already points at the bundled db
pnpm dev # backend on :3001, Vite dev server on :5173
Open http://localhost:5173 (the dev server proxies to the backend). Useful
commands: pnpm test, pnpm typecheck, pnpm lint.
Migrations run automatically on boot; there is no separate migrate step, in dev or in production.
Reference
- Configuration: every environment variable, SSO setup, secret generation, backups and health.
- Troubleshooting: the failures you are most likely to hit, and what causes them.
Repository layout
| Path | What it is |
|---|---|
packages/shared | @bevel-software/platform-shared: shared types + pure domain utilities |
packages/core-backend | @bevel-software/platform-core-backend: the core backend (ships migrations/ + kb-template/) |
packages/core-frontend | @bevel-software/platform-core-frontend: the core UI, published as raw TS/TSX source |
apps/server | standalone core backend shell |
apps/web | standalone core SPA shell (Vite) |
FAQ
Questions that come up when teams evaluate Hexis as a central, versioned catalogue for agent skills and tools.
<details> <summary><b>How do agents find skills without flooding the context window?</b></summary>They look them up rather than loading them all: list_skills and search
narrow the field, get_skill returns one skill at call time.
Any MCP-capable client, including Claude Code, Codex, Cursor, Cline and ChatGPT, each seeing only what its user's role allows.
</details> <details> <summary><b>How is the catalogue versioned?</b></summary>By git: every save is a commit, so history, blame and revert work as they do for code, and changes to protected branches ship as reviewable change requests.
</details> <details> <summary><b>What governance do we get?</b></summary>Per-file access control, review-gated change requests, and a git audit trail of who changed what and who approved it.
</details>License: Apache-2.0
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