Per-job shared workspace (files) exposed as MCP tools for persona agents and the workflow engine
Project description
persona-mcp-workspace
Full-machine access exposed as MCP tools: read, write, edit, bash.
This server is meant to be installed on a real machine so an agent can
operate it remotely — the remote equivalent of a local coding agent's own
tools, with no folder confinement. Paths are used exactly as given
(absolute, or resolved against the server process's own working
directory); bash runs with no forced cwd, inheriting the server
process's own.
Tools
| tool | description |
|---|---|
read |
read a file (text or base64), with offset/limit |
write |
create or overwrite a file, parents auto-created |
edit |
precise text replacement — one or more disjoint edits per call |
bash |
run a shell command, no working directory imposed |
skill |
load one skill's full instructions + bundled file paths |
Listing, searching, deleting and moving files are not separate
tools — bash covers them (ls, grep, find, rm, mv). One fewer
surface to keep in sync with the agent-facing API, and the agent already
knows how to use a shell.
There is no dedicated node in persona-workflows for these tools: a
workflow mounts this server on an agent step (or calls it) through the
existing generic tool node, which is agnostic to whatever tools a given
MCP server exposes — it never needs updating when this server's tool
surface changes.
Skills
Skills are installed on disk under .agents/skills/<name>/SKILL.md
(override the root with WORKSPACE_SKILLS_DIR) — the same on-disk Agent
Skills convention used by Claude Code and other harnesses: YAML
frontmatter (name, description, optional allowed-tools) followed by
the skill's instructions body, plus optional scripts/, references/,
assets/ subfolders. Drop a new skill folder in and it's picked up
immediately, no restart needed.
The catalog (name + description of every installed skill) is exposed as
the resource://skills MCP resource, not a tool — see below for why
and how to wire it into the system prompt. skill(name) is the one
remaining tool: it loads one skill's full instructions plus the relative
paths of its bundled files — fetch those with read, same reasoning as
above (no separate content-fetch tool).
MCP resources
| resource | returns |
|---|---|
resource://cwd |
this server's working directory |
resource://skills |
the skill catalog — name + description, one per line |
resource://system |
OS/Python version and which shell bash runs (bash vs PowerShell) |
resource://cwd reflects WORKSPACE_CWD if set at startup (the process
chdirs there before doing anything else, so read/write/edit
relative paths and bash's cwd all agree with what's reported);
otherwise it's whatever directory the process was launched from.
Getting these into the system prompt
MCP resources are not read automatically by persona-core — there's
no handshake-time mechanism that pulls them in for you. To wire one in,
configure a resource-backed Variable on the agent:
{
"name": "cwd",
"source": {
"type": "resource",
"mcpServer": "<this feature's registered name>",
"resourceUri": "resource://cwd"
}
}
(same shape for resourceUri: "resource://skills") and reference
{{ cwd }} / {{ skills }} inside the agent's systemInstructions.
persona-core resolves each fresh on every turn (no caching), so a skill
added after the agent was created still shows up. Without this wiring,
skill(name) still works as an explicit tool call — you'd just be
missing the ambient catalog telling the agent what's available to load.
edit semantics
edit(path, edits: [{old_string, new_string, replace_all?}]). Each
old_string must match exactly once in the file unless replace_all is
set, in which case every occurrence is replaced. Edits in one call are
applied in order against the progressively-edited content. All edits are
validated before anything is written — if one fails (not found, or
ambiguous without replace_all), the file is left untouched.
No confinement, by design
There is no per-job workspace folder and no path jail: read/write/
edit accept any path this process can reach, and bash has no forced
working directory. Running this server means trusting the project's
agents with the machine under the server's user account — the only
gate is authentication (JWT), not a filesystem boundary. Install it under
a dedicated user with exactly the permissions you want to grant.
project_id (from the verified JWT) and execution_id/workspace_id
(when the caller sends them in the MCP request _meta — persona-core
forwards the AgentContext there automatically, persona-workflows sets
workspace_id to the root execution id) are logged with every call for
audit/traceability, but they never restrict what a call can touch.
bash shells out through each host's native shell: bash on POSIX,
Windows PowerShell (powershell.exe, built in, no Git Bash/WSL needed)
on Windows. Command syntax has to match the host, so wire
resource://system into the agent's system prompt the same way as
resource://cwd if it may run against either OS.
WORKSPACE_SHELL_MAX_TIMEOUT (default 600s) caps per-command timeouts.
WORKSPACE_CWD, if set, is chdir'd into at startup, before anything
else — otherwise the process just keeps whatever cwd it was launched
with. WORKSPACE_SKILLS_DIR (default .agents/skills) points at the
skills root.
Running
uv sync
uv run persona-mcp-workspace --port 9100 # JWT auth on (default)
uv run persona-mcp-workspace --no-auth # local development
# or, from any machine with no local checkout:
uvx persona-mcp-workspace --port 9100
Register it in persona as a global feature template (type mcp,
transport http, enablePersonaAuth: true) named workspace; mount it
on an agent step via its per-step toolsets, or invoke it directly with
a generic tool node.
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