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mcp-portal
Advanced tools
Stdio MCP server that delegates bulk reads and boilerplate generation to the Cursor CLI
mcp-portal is a stdio Model Context Protocol server that lets a frontier agent (Claude Code, Codex, Cursor, or any MCP host) delegate two jobs to the Cursor CLI on its own quota: bounded bulk_read (read explicitly selected files, answer with verified quotes) and code_write (generate boilerplate from a reference file + spec; the server writes the target file). Python stdlib only—no Node runtime and no MCP SDK dependency.
On 2026-09-08, composer-2.5-fast generated roughly 5× faster than a frontier model on the same brief (line-rate measurement). Cursor quota is separate from the host model's.
Until the first PyPI release lands, install straight from GitHub:
uvx --from git+https://github.com/apollion69/mcp-portal mcp-portal
After the PyPI release the short forms work:
uvx mcp-portal
pipx install mcp-portal
pip install mcp-portal
Requirements: Python 3.10+, the Cursor CLI (cursor-agent) installed and logged in.
Doctor (CLI inventory, no model call):
mcp-portal-doctor
claude mcp add --scope user mcp-portal -- uvx mcp-portal
~/.codex/config.toml)[mcp_servers.mcp-portal]
command = "uvx"
args = ["mcp-portal"]
tool_timeout_sec = 150
~/.cursor/mcp.json){
"mcpServers": {
"mcp-portal": {
"command": "uvx",
"args": ["mcp-portal"]
}
}
}
.vscode/mcp.json, servers key){
"servers": {
"mcp-portal": {
"type": "stdio",
"command": "uvx",
"args": ["mcp-portal"]
}
}
}
mcpServers JSON{
"mcpServers": {
"mcp-portal": {
"command": "uvx",
"args": ["mcp-portal"]
}
}
}
Environment (optional):
| Variable | Purpose |
|---|---|
MCP_PORTAL_HOME | Cache, receipts, evidence (default ~/.cache/mcp-portal) |
MCP_PORTAL_CLI | Path to cursor-agent / agent |
bulk_read| Argument | Required | Description |
|---|---|---|
paths | yes | 1–16 file paths (relative to root or absolute) |
question | yes | Question answered only from those files |
root | no | Common root; default = longest common parent of paths |
model | no | Override model; policy applies when omitted |
Returns status, run_id, answer.findings[] (file, start, end, quote, fact), gaps[], metrics, model_decision.
code_write| Argument | Required | Description |
|---|---|---|
spec | yes | What to generate |
reference_path | yes | Style/context reference file |
target_path | no | If set, server writes this path |
model | no | Override model |
Returns generated code, optional bytes_written, run_id, metrics.
statusNo arguments. Returns CLI path, auth hint, default model, policy summary, cache location, receipt counters.
Shipped in model-policy.json (package data). Defaults:
composer-2.5, then cursor-grok-*)-fast suffixes (never auto-select fast variants)cursor-agent --list-modelsOverride by editing model-policy.json in the installed package or setting policy fields via a custom file at MCP_PORTAL_HOME (future) — today, replace the package file or patch preferred in your fork. Each tool result includes model_decision.reason (default_preferred, fast_suffix_stripped, cursor_native_explicit, explicit_other_vendor, requested_unavailable_fallback).
CURSOR_CONFIG_DIR, deny-all permissions, --mode ask, sandbox enabled.quote in bulk_read answers must appear verbatim in the cited line range; bad citations are dropped or fail closed.MCP_PORTAL_HOME/runs/<run_id>/ with manifest (hashes, metrics; not full source).On Windows, the delegate uses a local Cursor CLI run when either:
MCP_PORTAL_CLI points at an executable (including test stubs), orcursor-agent / agent is found on PATH and is a real file.Otherwise it falls back to the wsl.exe bridge into Ubuntu/WSL (python3 -m mcp_portal.delegate --worker). Force either mode with MCP_PORTAL_BACKEND=local or MCP_PORTAL_BACKEND=wsl.
uvx mcp-portal when the CLI is on PATH, or wsl.exe + uvx mcp-portal when it is notclients/windows/ (delegate.ps1, parse_read.ps1)MCP_PORTAL_WORKER overrides the default WSL worker commandMCP_PORTAL_WSL_CD sets the WSL working directory (default ~)Install read gate + skill (generic, transactional):
python3 -m mcp_portal.install_router prepare --client claude --python python3 \
--state-root ~/.cache/mcp-portal/router-tx --shell bash --command-shell bash
# then apply with the printed transaction id
See docs/skills/cursor-bulk-reader/SKILL.md for agent-facing guidance. The router blocks or warns on large full-file reads (>350 lines or >128 KiB) and points agents at bulk_read.
Repo-level MCP registration helper:
python3 -m mcp_portal.install plan
python3 -m mcp_portal.install apply --target claude-mcp
See SECURITY.md. Summary: you choose which files leave the machine; the CLI runs read-only with tools denied; quotes are verified server-side. Not a substitute for secret hygiene.
Several Node-based bridges expose Cursor via MCP (different tradeoffs: SDK/Node stack, varying isolation and verification):
mcp-portal focuses on stdlib Python, hash-pinned manifests, quote verification, server-side writes for code_write, model policy, and WSL-first Windows support.
MIT — see LICENSE.
FAQs
Stdio MCP server that delegates bulk reads and boilerplate generation to the Cursor CLI
We found that mcp-portal demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.

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