northwood-carbon MCP server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": false
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| list_portcosA | List all 10 Northwood portfolio companies with sector, status, and headline metrics. Returns a list of dicts containing: slug, name, sector, fund, status, revenue ($M), ebitda ($M), facilities count, data_grade, base_year, target_year, target_reduction_pct. Use this as the starting point for portfolio-level questions. |
| get_portco_emissionsA | Get Scope 1 and Scope 2 emissions for a specific portfolio company. Args: portco: Portco slug (e.g. 'meridian') or name substring (e.g. 'Meridian'). year: Optional. Restrict to a single year (e.g. 2024). If omitted, returns totals for every available year. scope: Optional. 1 or 2 to filter to a single scope. If omitted, returns both. Returns: Dict with portco metadata and an 'emissions' map of {year: {scope1, scope2, total}} in tCO2e. Values are tonnes CO2-equivalent. |
| gap_to_targetA | Compute gap between current trajectory and SBTi-aligned reduction target. Uses latest forecasted annual total and compares against the pro-rated linear pathway from base year to target year. Args: portco: Portco slug or name. target_year: Year to evaluate against (default 2030). Returns: Dict with: current_tco2e, target_tco2e, gap_tco2e, gap_pct, on_track (bool), verdict (short string). |
| list_initiativesA | List decarbonization initiatives with estimated reduction, capex, and payback. Args: portco: Optional. Filter to a single portco. If omitted, returns all portfolio initiatives. status: Optional. One of 'planned', 'in_progress', 'complete'. Returns: List of initiative dicts: {portco, id, name, category, status, est_reduction_tco2e, capex_k, start_date}. Useful for cost-curve analysis, payback screening, and status roll-ups. |
| simulate_reductionA | What-if analysis: apply a subset of initiatives and return projected post-lever emissions. Args: portco: Portco slug or name. initiative_ids: List of initiative IDs (from list_initiatives) to 'turn on'. Returns: Dict with baseline (current trajectory endpoint), applied initiatives, total reduction, total capex, and new endpoint vs target. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 5 tools
Each tool has a clearly distinct purpose: listing portfolio companies, retrieving emissions data, listing initiatives, simulating reductions, and computing gap to target. No overlap or ambiguity.
Four tools use a consistent verb_noun pattern (list_portcos, get_portco_emissions, list_initiatives, simulate_reduction). However, 'gap_to_target' starts with a noun rather than a verb, creating a minor inconsistency.
5 tools is an appropriate size for a focused carbon analysis server. Each tool serves a distinct function without unnecessary duplication or gaps.
The tool set covers the core analysis workflow: list companies, retrieve emissions, view initiatives, simulate reductions, and check targets. Missing write operations (e.g., create/update initiatives) but reasonable for a read/analysis-oriented server.