Implement MCP resources that provide data and files to AI assistants - URIs, caching, and streaming
You are an expert in implementing MCP resources using the rmcp crate, with deep knowledge of resource patterns, URI design, and data fetching strategies.
You guide developers on:
Resources are data sources that MCP servers expose to AI assistants. They provide context through files, database records, API responses, or any retrievable data.
Good URI design is crucial for resource organization:
// Pattern 1: Hierarchical paths
"file:///project/src/main.rs"
"db://users/123"
"api://weather/san-francisco/current"
// Pattern 2: Query-style
"data://records?type=user&id=123"
"search://results?q=rust+mcp&limit=10"
// Pattern 3: Template-based
"user://{user_id}"
"document://{collection}/{document_id}"
"metric://{service}/{metric_name}/{timerange}"
scheme://authority/path?query#fragment
│ │ │ │ │
│ │ │ │ └─ Optional fragment
│ │ │ └─ Optional query parameters
│ │ └─ Resource path
│ └─ Optional authority (host, port)
└─ Resource type identifier
use rmcp::prelude::*;
use serde::{Deserialize, Serialize};
#[derive(Clone)]
struct FileSystemResource {
root_path: PathBuf,
}
impl FileSystemResource {
fn new(root_path: impl Into<PathBuf>) -> Self {
Self {
root_path: root_path.into(),
}
}
// List resources
async fn list_resources(&self) -> Result<Vec<ResourceInfo>, Error> {
let mut resources = Vec::new();
let entries = tokio::fs::read_dir(&self.root_path).await?;
let mut entries = entries;
while let Some(entry) = entries.next_entry().await? {
let path = entry.path();
let relative_path = path.strip_prefix(&self.root_path)?;
let uri = format!("file:///{}", relative_path.display());
resources.push(ResourceInfo {
uri,
name: entry.file_name().to_string_lossy().to_string(),
description: Some(format!("File: {}", relative_path.display())),
mime_type: Some(self.detect_mime_type(&path)),
});
}
Ok(resources)
}
// Fetch resource content
async fn fetch_resource(&self, uri: &str) -> Result<ResourceContent, Error> {
// Parse URI to extract path
let path = self.parse_uri(uri)?;
let full_path = self.root_path.join(&path);
// Read file content
let content = tokio::fs::read_to_string(&full_path).await?;
let mime_type = self.detect_mime_type(&full_path);
Ok(ResourceContent {
uri: uri.to_string(),
mime_type,
text: Some(content),
blob: None,
})
}
fn detect_mime_type(&self, path: &Path) -> String {
match path.extension().and_then(|s| s.to_str()) {
Some("rs") => "text/x-rust".to_string(),
Some("toml") => "application/toml".to_string(),
Some("json") => "application/json".to_string(),
Some("md") => "text/markdown".to_string(),
Some("txt") => "text/plain".to_string(),
_ => "application/octet-stream".to_string(),
}
}
fn parse_uri(&self, uri: &str) -> Result<PathBuf, Error> {
// Remove "file:///" prefix
let path = uri.strip_prefix("file:///")
.ok_or_else(|| Error::InvalidUri(uri.to_string()))?;
Ok(PathBuf::from(path))
}
}
#[derive(Clone)]
struct UserResource {
db: Arc<Database>,
}
impl UserResource {
// Template: "user://{user_id}"
async fn list_resources(&self) -> Result<Vec<ResourceInfo>, Error> {
let users = self.db.list_users().await?;
let resources = users.into_iter().map(|user| ResourceInfo {
uri: format!("user://{}", user.id),
name: user.name.clone(),
description: Some(format!("User profile for {}", user.name)),
mime_type: Some("application/json".to_string()),
}).collect();
Ok(resources)
}
async fn fetch_resource(&self, uri: &str) -> Result<ResourceContent, Error> {
// Parse "user://123" -> user_id = "123"
let user_id = uri.strip_prefix("user://")
.ok_or_else(|| Error::InvalidUri(uri.to_string()))?;
let user = self.db.get_user(user_id).await?;
let json = serde_json::to_string_pretty(&user)?;
Ok(ResourceContent {
uri: uri.to_string(),
mime_type: "application/json".to_string(),
text: Some(json),
blob: None,
})
}
}
#[derive(Clone)]
struct DocumentationResource {
docs_dir: PathBuf,
}
impl DocumentationResource {
async fn list_resources(&self) -> Result<Vec<ResourceInfo>, Error> {
let mut resources = Vec::new();
for entry in walkdir::WalkDir::new(&self.docs_dir)
.follow_links(true)
.into_iter()
.filter_map(|e| e.ok())
.filter(|e| e.path().extension().map_or(false, |ext| ext == "md"))
{
let path = entry.path();
let relative = path.strip_prefix(&self.docs_dir)?;
resources.push(ResourceInfo {
uri: format!("docs://{}", relative.display()),
name: path.file_name()
.unwrap()
.to_string_lossy()
.to_string(),
description: Some(format!("Documentation: {}", relative.display())),
mime_type: Some("text/markdown".to_string()),
});
}
Ok(resources)
}
}
#[derive(Clone)]
struct DatabaseResource {
pool: PgPool,
}
impl DatabaseResource {
// Resource URI: "db://table_name/record_id"
async fn fetch_resource(&self, uri: &str) -> Result<ResourceContent, Error> {
let parts: Vec<&str> = uri.strip_prefix("db://")
.ok_or_else(|| Error::InvalidUri(uri.to_string()))?
.split('/')
.collect();
if parts.len() != 2 {
return Err(Error::InvalidUri(uri.to_string()));
}
let table = parts[0];
let id = parts[1];
// Query database
let query = format!("SELECT * FROM {} WHERE id = $1", table);
let row = sqlx::query(&query)
.bind(id)
.fetch_one(&self.pool)
.await?;
// Convert row to JSON
let json = row_to_json(&row)?;
Ok(ResourceContent {
uri: uri.to_string(),
mime_type: "application/json".to_string(),
text: Some(json),
blob: None,
})
}
}
use reqwest::Client;
#[derive(Clone)]
struct ApiResource {
client: Client,
base_url: String,
api_key: String,
}
impl ApiResource {
// Resource URI: "api://endpoint/path"
async fn fetch_resource(&self, uri: &str) -> Result<ResourceContent, Error> {
let path = uri.strip_prefix("api://")
.ok_or_else(|| Error::InvalidUri(uri.to_string()))?;
let url = format!("{}/{}", self.base_url, path);
let response = self.client
.get(&url)
.header("Authorization", format!("Bearer {}", self.api_key))
.send()
.await?;
let content_type = response
.headers()
.get("content-type")
.and_then(|v| v.to_str().ok())
.unwrap_or("application/octet-stream")
.to_string();
let text = response.text().await?;
Ok(ResourceContent {
uri: uri.to_string(),
mime_type: content_type,
text: Some(text),
blob: None,
})
}
}
#[derive(Clone)]
struct MetricsResource {
metrics_collector: Arc<MetricsCollector>,
}
impl MetricsResource {
// Resource URI: "metrics://service/metric_name"
async fn fetch_resource(&self, uri: &str) -> Result<ResourceContent, Error> {
let path = uri.strip_prefix("metrics://")
.ok_or_else(|| Error::InvalidUri(uri.to_string()))?;
let parts: Vec<&str> = path.split('/').collect();
if parts.len() != 2 {
return Err(Error::InvalidUri(uri.to_string()));
}
let service = parts[0];
let metric_name = parts[1];
// Generate metrics report
let metrics = self.metrics_collector
.get_metrics(service, metric_name)
.await?;
let report = format!(
"# Metrics Report\n\nService: {}\nMetric: {}\nValue: {}\nTimestamp: {}\n",
service, metric_name, metrics.value, metrics.timestamp
);
Ok(ResourceContent {
uri: uri.to_string(),
mime_type: "text/markdown".to_string(),
text: Some(report),
blob: None,
})
}
}
use std::time::{Duration, Instant};
use tokio::sync::RwLock;
#[derive(Clone)]
struct CachedResource {
inner: Arc<InnerResource>,
cache: Arc<RwLock<HashMap<String, CachedEntry>>>,
ttl: Duration,
}
struct CachedEntry {
content: ResourceContent,
cached_at: Instant,
}
impl CachedResource {
async fn fetch_resource(&self, uri: &str) -> Result<ResourceContent, Error> {
// Check cache
{
let cache = self.cache.read().await;
if let Some(entry) = cache.get(uri) {
if entry.cached_at.elapsed() < self.ttl {
return Ok(entry.content.clone());
}
}
}
// Fetch from source
let content = self.inner.fetch_resource(uri).await?;
// Update cache
{
let mut cache = self.cache.write().await;
cache.insert(uri.to_string(), CachedEntry {
content: content.clone(),
cached_at: Instant::now(),
});
}
Ok(content)
}
}
struct LazyResource {
loader: Arc<dyn ResourceLoader>,
cache: Arc<RwLock<HashMap<String, ResourceContent>>>,
}
impl LazyResource {
async fn fetch_resource(&self, uri: &str) -> Result<ResourceContent, Error> {
// Try cache first
if let Some(content) = self.cache.read().await.get(uri) {
return Ok(content.clone());
}
// Load on demand
let content = self.loader.load(uri).await?;
// Cache for future requests
self.cache.write().await.insert(uri.to_string(), content.clone());
Ok(content)
}
}
use tokio::io::AsyncReadExt;
async fn stream_large_file(path: &Path) -> Result<Vec<u8>, Error> {
let mut file = tokio::fs::File::open(path).await?;
let mut buffer = Vec::new();
// Stream in chunks
let mut chunk = vec![0u8; 8192]; // 8KB chunks
loop {
let n = file.read(&mut chunk).await?;
if n == 0 {
break;
}
buffer.extend_from_slice(&chunk[..n]);
}
Ok(buffer)
}
async fn fetch_binary_resource(&self, uri: &str) -> Result<ResourceContent, Error> {
let path = self.parse_uri(uri)?;
let full_path = self.root_path.join(&path);
// Read as binary
let blob = tokio::fs::read(&full_path).await?;
let mime_type = self.detect_mime_type(&full_path);
Ok(ResourceContent {
uri: uri.to_string(),
mime_type,
text: None,
blob: Some(blob),
})
}
#[cfg(test)]
mod tests {
use super::*;
#[tokio::test]
async fn test_list_resources() {
let resource = FileSystemResource::new("/tmp/test");
let list = resource.list_resources().await.unwrap();
assert!(!list.is_empty());
}
#[tokio::test]
async fn test_fetch_resource() {
let resource = FileSystemResource::new("/tmp/test");
let content = resource.fetch_resource("file:///test.txt")
.await
.unwrap();
assert_eq!(content.mime_type, "text/plain");
}
#[tokio::test]
async fn test_invalid_uri() {
let resource = FileSystemResource::new("/tmp/test");
let result = resource.fetch_resource("invalid://uri").await;
assert!(result.is_err());
}
}
When helping with resource implementation:
Design URI Pattern
Implement Listing
Implement Fetching
Add Caching
Test Thoroughly
Your goal is to help developers create efficient, well-designed resources that provide valuable context to AI assistants.
npx skills add aiskillstore/mcp-resources-guide下载完整 Skill 目录,包含 SKILL.md 及所有相关文件
Search for places (restaurants, cafes, etc.) via Google Places API proxy on localhost.
Interact with GitHub using the `gh` CLI. Use `gh issue`, `gh pr`, `gh run`, and `gh api` for issues, PRs, CI runs, and advanced queries.
Create or update AgentSkills. Use when designing, structuring, or packaging skills with scripts, references, and assets.
Start voice calls via the OpenClaw voice-call plugin.
Notion API for creating and managing pages, databases, and blocks.
Gemini CLI for one-shot Q&A, summaries, and generation.
Category:developer