ProjectPulse MCP vs MCP Server
A side-by-side look at the ProjectPulse MCP and MCP Server MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose ProjectPulse MCP for monitoring work as a local process; choose MCP Server for monitoring over a hosted endpoint. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose ProjectPulse MCP when
- You need dedicated capabilities in the Monitoring domain.
- You prefer a local stdio subprocess transport.
- You have the keys it needs:
GITHUB_TOKEN. - You want tools like
check_ci_status, get_repo_health, analyze_dependencies.
Choose MCP Server when
- You need dedicated capabilities in the Monitoring domain.
- You prefer a remote HTTP/SSE transport.
- Its auth model fits you: API key required.
- You want tools like
thinkneo_check_spend, thinkneo_complete, thinkneo_read_memory.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Monitoring | Monitoring |
| Quality signal | 64/100 · Good | 56/100 · Good |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Remote HTTP/SSE |
| Auth | Not declared | API key required |
| Pricing | Free | Freemium |
| Required env vars | GITHUB_TOKEN | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | 1 | 3 |
| Directory activity | 4 views 0 installs 0 upvotes | 2 views 0 installs 0 upvotes |
| Tools | 8 | 68 |
| Full listing | View ProjectPulse MCP | View MCP Server |
Tools & capabilities
ProjectPulse MCP tools 8
check_ci_statusFetches recent CI/CD workflow runs (GitHub Actions) for a GitHub repository. - Side effects: None. This is a strictly read-only operation. - Data sources: GitHub REST API (actions/runs). - Auth requirements: No authentication required for public repositories. Uses configured token if available. - Rate limits: Subject to standard GitHub API limits. - Return shape: Returns a JSON array of workflow runs including name, status, conclusion, head_branch, created_at, updated_at, and html_url. - Usage guidelines: Use this tool ONLY to check raw GitHub Actions workflow history and CI build statuses. DO NOT use this tool for other analyses: - For a computed A-F health score grading, use 'get_health_score' instead. - For retrieving basic repository stats (stars, forks), use 'get_repo_health' instead. - For calculated DORA metrics, use 'get_dora_metrics' instead.get_repo_healthFetches basic repository metadata and statistics from the public GitHub API. - Side effects: None. This is a strictly read-only operation. - Data sources: Public GitHub REST API (GET /repos/{owner}/{repo}). - Auth requirements: No authentication required for public repositories. Uses configured GitHub token if available. - Rate limits: Subject to standard GitHub API limits (60 requests/hour unauthenticated, 5000 requests/hour authenticated). - Return shape: Returns a JSON object containing specific metadata: full_name (string), description (string), stargazers_count (number), open_issues_count (number), language (string), license (string, SPDX ID), pushed_at (ISO 8601 string), default_branch (string), archived (boolean), and forks_count (number). - Usage guidelines: Use this tool ONLY to retrieve basic raw metadata (like stars, forks, language, and issue counts). DO NOT use this tool for other specific analyses: - For a computed A-F health score grading, use 'get_health_score' instead. - For checking CI/CD workflow run statuses, use 'check_ci_status' instead. - For package vulnerabilities and dependency graph, use 'analyze_dependencies' instead. - For code security and static analysis, use 'analyze_code_scanning' instead.analyze_dependenciesFetches Dependabot alerts for a GitHub repository to analyze vulnerable package dependencies. - Side effects: None. This is a strictly read-only operation. - Data sources: GitHub REST API (dependabot/alerts). - Auth requirements: Requires GITHUB_TOKEN with appropriate permissions (dependabot alerts are often restricted). - Rate limits: Subject to standard GitHub API limits. - Return shape: Returns a JSON array of vulnerable package dependencies including summary, severity, package_name, state, and html_url. - Usage guidelines: Use this tool ONLY to find vulnerable package dependencies (npm, pip, etc.). DO NOT use this tool for other checks: - For static code security vulnerabilities (CodeQL), use 'analyze_code_scanning' instead. - For a computed A-F health score grading, use 'get_health_score' instead.analyze_code_scanningFetches or triggers open Code Scanning (CodeQL) alerts for a GitHub repository. - Side effects: Read-only by default. If trigger_scan=true, writes to GitHub Actions by creating a workflow_dispatch event. - Data sources: GitHub REST API (code-scanning/alerts and actions). - Auth requirements: Requires GITHUB_TOKEN with appropriate permissions (security-events). - Rate limits: Subject to standard GitHub API limits. - Return shape: Returns a JSON array of alert objects including rule_id, severity, rule_description, state, location paths, and html_url. - Usage guidelines: Use this tool ONLY for deep static code vulnerability scanning (CodeQL). DO NOT use this tool for other checks: - For package/dependency vulnerabilities, use 'analyze_dependencies' instead. - For a computed A-F health score grading, use 'get_health_score' instead. - For checking standard CI/CD workflow statuses, use 'check_ci_status' instead.get_health_scoreCalculates a 0-100 health score and A-F grade for a GitHub repository. - Side effects: Writes a trend snapshot to local disk for history tracking. Read-only against GitHub API. - Data sources: GitHub REST API (repos, actions, dependabot) and OpenSSF Scorecard API. - Auth requirements: No authentication required for public repositories. Uses configured token if available. - Rate limits: Subject to standard GitHub API limits (heavy usage across multiple endpoints). - Return shape: Returns a JSON object with a grade (A-F), total score, detailed category breakdown (CI, freshness, security, community, maintenance), improvement suggestions, and historical trend data. - Usage guidelines: Use this tool ONLY for deep analytical grading and overall repository health assessment. DO NOT use this tool for quick metadata checks: - For basic raw metadata (stars, language, etc.), use 'get_repo_health' instead. - For raw CI workflow statuses, use 'check_ci_status' instead. - For deep code vulnerability scanning, use 'analyze_code_scanning' instead. - For DORA metrics, use 'get_dora_metrics' instead.get_dora_metricsCalculates DORA proxy metrics (deployment frequency, lead time, change failure rate, MTTR) for a GitHub repository. - Side effects: None. This is a strictly read-only operation. - Data sources: GitHub REST API (releases, actions/runs, pulls). - Auth requirements: No special authentication required for public repositories. Private repositories require GITHUB_TOKEN. - Rate limits: Subject to standard GitHub API limits. Heavy API usage due to multiple list endpoints being queried. - Return shape: Returns a JSON object with calculated DORA metrics over the specified period. - Usage guidelines: Use this tool ONLY to evaluate DORA metrics and team delivery performance. DO NOT use this tool for other checks: - For raw workflow statuses, use 'check_ci_status' instead. - For a computed A-F health score grading, use 'get_health_score' instead. - For general repository metadata, use 'get_repo_health' instead.compare_reposCompares health scores of multiple GitHub repositories (2-5 repos) and ranks them. - Side effects: None. This is a strictly read-only operation. - Data sources: GitHub REST API and OpenSSF Scorecard API (via get_health_score logic). - Auth requirements: No authentication required for public repositories. Uses configured token if available. - Rate limits: Subject to standard GitHub API limits. Multiplies API calls by the number of repositories compared. - Return shape: Returns a JSON object containing a ranked list of repositories (owner, repo, rank) with their detailed health breakdown (score, CI, freshness, security, community, maintenance). - Usage guidelines: Use this tool ONLY when you need to compare or rank multiple repositories against each other based on their health scores. DO NOT use this tool for analyzing a single repository: - For getting the health score of a single repository, use 'get_health_score' instead. - For comparing raw metadata instead of health scores, query 'get_repo_health' individually.check_best_practicesChecks whether a GitHub repository follows open-source community best practices. - Evaluates 12 checks: README, LICENSE, SECURITY.md, CONTRIBUTING.md, CODE_OF_CONDUCT, issue/PR templates, branch protection, Dependabot, CI/CD, description, and topics. - Returns a weighted 0-100 score with A-F grade, per-check pass/fail/unknown status, and actionable suggestions for missing items. - Side effects: None. Read-only operation. - Rate limits: ~6 GitHub API calls per invocation. - Branch protection check requires admin access — returns "unknown" (not penalized) if token lacks permission. - Use this tool to audit repo quality and discoverability. For a computed health grade based on CI/security/activity, use 'get_health_score' instead.
MCP Server tools 68
thinkneo_check_spendCheck AI spend summary for a workspace, team, or project. Returns real cost breakdown by provider, model, and time period from the ThinkNEO AI gateway.thinkneo_completeRun a governed LLM completion through the ThinkNEO AI gateway. The request is authorized, classified, and policy-checked against your workspace governance BEFORE any provider is called — a blocked prompt never reaches the model. Tenant/workspace are derived from your API key.thinkneo_read_memoryRead Claude Code project memory files. Without arguments, returns the MEMORY.md index listing all available memories. With a filename argument, returns the full content of that specific memory file. Use this to access project context, user preferences, feedback, and reference notes persisted across Claude Code sessions.thinkneo_write_memoryWrite or update a Claude Code project memory file (.md). Persists project context, user preferences, feedback, and reference notes across Claude Code sessions. Filename must end in .md with lowercase alphanumeric characters. Path traversal is blocked. Requires authentication.Use this to persist project context, user preferences, feedback, and reference notes across Claude Code sessions. The filename must end in .md and contain only lowercase letters, digits, underscores, and hyphens (e.g. 'user_fabio.md', 'project_new_feature.md'). Path traversal is blocked.thinkneo_evaluate_guardrailEvaluate a prompt or text against ThinkNEO guardrail policies before sending it to an AI provider. Returns risk assessment, violations found, and recommendations. Requires authentication.thinkneo_checkFree-tier prompt safety check. Analyzes text for prompt injection patterns and PII (credit card numbers, Brazilian CPF, US SSN, email, phone, passwords). Returns a safety assessment with specific warnings. No authentication required.thinkneo_check_policyCheck AI governance policies including model access, budget limits, data controls, and agent governance from the ThinkNEO gateway.thinkneo_get_budget_statusCheck AI budget status including spend vs limit, forecast, and chargeback data from the ThinkNEO gateway.thinkneo_list_alertsList active alerts for budget, policy, SLA, and security from the ThinkNEO gateway.thinkneo_get_compliance_statusGet compliance status including framework coverage (EU AI Act, ISO 42001, NIST AI RMF, SOC 2) and governance assessments from the ThinkNEO gateway.thinkneo_provider_statusGet real-time health and performance status of AI providers routed through the ThinkNEO gateway. Shows latency, error rates, and availability. No authentication required.thinkneo_schedule_demoSchedule a demo or discovery call with the ThinkNEO team. Collects contact information and preferences. No authentication required.- +56 more on the listing page
Ready-to-paste client configs
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
ProjectPulse MCP
{
"mcpServers": {
"projectpulse-mcp": {
"command": "npx",
"args": [
"-y",
"projectpulse-mcp"
],
"env": {
"GITHUB_TOKEN": "YOUR_GITHUB_TOKEN_HERE"
}
}
}
}
MCP Server
{
"mcpServers": {
"thinkneoai-mcp-server": {
"url": "https://mcp.thinkneo.ai/mcp"
}
}
}
Frequently asked questions
ProjectPulse MCP is categorized under Monitoring and uses a local stdio subprocess. MCP Server belongs to Monitoring and uses a remote HTTP/SSE transport. Pick ProjectPulse MCP for monitoring work and MCP Server for monitoring.
Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.
ProjectPulse MCP is listed as free. MCP Server is listed as freemium — a free tier with paid plans. Auth: api key required. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add projectpulse-mcp and thinkneoai-mcp-server as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, ProjectPulse MCP has a quality signal of 64/100 (Good) with 4 views, 0 installs and 1 GitHub stars. MCP Server has 56/100 (Good) with 2 views, 0 installs and 3 GitHub stars.